bluedoor data·Job Postings API·bluedoor.sh ↗

Home › Companies › 7253ba6d Cbb5 4936 9c30 89e4b8eb2c57 19000101 000001 › AI/ML Engineer

AI/ML Engineer

7253ba6d Cbb5 4936 9c30 89e4b8eb2c57 19000101 000001 · Atlanta, GA, US, Atlanta, GA · Hybrid · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company7253ba6d Cbb5 4936 9c30 89e4b8eb2c57 19000101 000001
TitleAI/ML Engineer
Normalized title-
Department / team-
LocationAtlanta, GA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-04-27 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from 7253ba6d Cbb5 4936 9c30 89e4b8eb2c57 19000101 000001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Atlanta.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company7253ba6d Cbb5 4936 9c30 89e4b8eb2c57 19000101 000001
Source29893bcb-66fd-47de-873d-b56331f57cb7
ATS providerADP Workforce Now Recruiting

Description

Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. Job Title: AI/ML Engineer – Enterprise GenAI Platforms & Employee Enablement (hybrid- onsite Monday- Thursday) Location: US-GA-Atlanta (Sandy Springs) FLSA : Exempt Job Overview : We are building an enterprise-wide GenAI capability that combines top-down platform governance with bottom-up employee enablement to drive responsible, scalable AI adoption across the organization. As an AI/ML Engineer focused on GenAI platforms and employee-facing enablement, you will design reusable GenAI services, establish standards, and empower employees to safely use AI through tools such as Microsoft 365 Copilot and internal GenAI applications. This role is highly product-facing and cross-functional, working with IT, security, product, and business teams. You will operate across AWS Bedrock, and GCP Vertex AI, and play a key role in expanding GenAI usage from centralized platforms down to everyday employee workflows. Job Responsibilities: Design and implement enterprise GenAI platform components, including: LLM orchestration (LangChain, LangGraph) and provider abstraction (AWS Bedrock, GCP Vertex) Prompt and workflow templates Evaluation frameworks and telemetry Guardrails for safety, compliance, and data protection Define standardized GenAI patterns that product and engineering teams can reuse across the organization. Partner with architecture, security, and compliance teams to ensure GenAI solutions align with enterprise policies and Responsible AI principles. Establish technical standards and best practices for GenAI development across onshore and offshore teams. Support experimentation by business users while ensuring guardrails, monitoring, and auditability. Work with business stakeholders to identify high-impact employee workflows where GenAI can improve productivity, decision-making, and quality. Partner with IT and business teams to expand and optimize the use of M365 Copilot across employee roles (operations, customer service, leadership, support teams). Design and implement integrations that connect enterprise data, knowledge bases, and workflows to M365 Copilot using approved patterns. Build ML and GenAI solutions that support multiple business domains, including: Claims loss mitigation and fraud detection Customer and agent experience Operational efficiency and internal productivity Combine classical ML, rules engines, and LLMs into hybrid systems where appropriate. Ensure solutions provide explainability, traceability, and measurable business value. Build enterprise-grade RAG pipelines over structured and unstructured data (policies, procedures, internal documentation, historical records). Implement document ingestion, chunking, embeddings, re-ranking, and citation-based outputs. Ensure GenAI responses are grounded, accurate, and auditable. Define and implement evaluation strategies for ML and GenAI solutions, including: Accuracy, precision/recall, hallucination rates Latency and cost metrics User adoption and satisfaction Build monitoring and feedback loops to continuously improve AI systems. Apply Responsible AI practices: PII protection, access controls, logging, and audit trails. The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities. Job Requirements: 3–4 years of experience in AI/ML engineering, applied data science, or related roles. Strong proficiency in Python and SQL. Solid foundation in machine learning (classification, anomaly detection, model evaluation). Hands-on experience with GenAI systems, including: Prompt design and testing Embeddings and vector search Retrieval-Augmented Generation (RAG) Structured outputs and validation Experience building and deploying APIs/services (FastAPI or similar). Familiarity with containerization (Docker) and CI/CD. Experience working in cloud environments (Azure, AWS, and/or GCP). Strong communication skills and comfort working in product-facing and enablement roles. Experience building internal platforms, shared services, or enablement frameworks. Exposure to M365 Copilot extensibility or enterprise productivity tooling. Familiarity with ML/LLMOps tools (model registries, experiment tracking, prompt/version management). Knowledge of Responsible AI, governance, and enterprise data privacy practices. Experience in regulated industries (insurance, auto warranty, financial services). Company Benefits: Medical, Dental, and Vision Insurance Flexible Spending Account Health Savings Account 401(k) Plan with Company Match Company-paid Short-Term and Long-Term Disability Company-paid Life Insurance Paid Holidays and Vacation Employee Referral Program Employee Assistance Program Wellness Programs Paid Community Service Opportunities Tuition Reimbursement Ongoing Training & Personal Development And More! About Safe-Guard Products International: Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard’s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada. For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service. Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.

Full job record

Job IDb51431791e8a15cc073bb230f52330deee055774
Org ID2de220b1-e415-44c6-a6c9-9aac0fc3b58a
Source ID29893bcb-66fd-47de-873d-b56331f57cb7
Board ID29893bcb-66fd-47de-873d-b56331f57cb7
Provideradp_workforcenow
Provider Job Key946230
TitleAI/ML Engineer
Normalized Title—
Statusactive
Activeyes
Location TextAtlanta, GA, US, Atlanta, GA
Department—
Team—
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionGA
CityAtlanta
Salary Raw—
Salary Min—
Salary Max—
Salary Currency—
Salary Period—
Source URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=7253ba6d-cbb5-4936-9c30-89e4b8eb2c57&ccId=19000101_000001&lang=en_US&type=JS&jobId=946230&jwId=9201501215483_1
Apply URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=7253ba6d-cbb5-4936-9c30-89e4b8eb2c57&ccId=19000101_000001&lang=en_US&type=JS&jobId=946230&jwId=9201501215483_1
First Seen At2026-05-31 18:25:26Z
Last Seen At2026-06-06 11:52:06Z
Last Checked At2026-06-06 11:52:06Z
Last Changed At2026-06-06 11:52:06Z
Inactive At—
Source Posted At2026-04-27 15:43:00Z
Source Updated At—
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=7253ba6d-cbb5-4936-9c30-89e4b8eb2c57|19000101_000001/date=2026-06-06/2026-06-06T11-52-05-783Z-f6a353a58f3953a254734e8fb497e1451269dae8ca8e44688b1d703d648e89ac.json
Event Fields
{
  "content_hash": "537e56cfdee2f32898f1a18093af6134471bccfb4007878039264a1ee116088d",
  "source_hash": "4dc2d9d31c61182394746a75f46437399ee712e92580898b38a18192887c8261",
  "last_changed_at": "2026-06-06T11:52:06.806Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Atlanta, GA, US, Atlanta, GA",
    "city": "Atlanta",
    "region": "GA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T11:52:06.780Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Atlanta, GA, US, Atlanta, GA",
      "city": "Atlanta",
      "region": "GA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "detail": {
    "links": [],
    "itemID": "9201501215483_1",
    "postDate": "2026-04-27T11:43:00.000-04:00",
    "workLevelCode": {
      "shortName": "Full Time Regular Non-Manager"
    },
    "customFieldGroup": {
      "dateFields": [
        {
          "nameCode": {
            "codeValue": "PostingDate"
          },
          "dateValue": "2026-04-27T11:43Z"
        },
        {
          "nameCode": {
            "codeValue": "CurrentServerDateTime"
          },
          "dateValue": "2026-06-06T07:52Z"
        }
      ],
      "numberFields": [
        {
          "numberValue": 0,
          "categoryCode": {
            "codeValue": "ApplicantCount"
          }
        },
        {
          "categoryCode": {
            "codeValue": "AwardAmount"
          }
        }
      ],
      "stringFields": [
        {
          "nameCode": {
            "codeValue": "ExternalJobID"
          },
          "stringValue": "946230"
        },
        {
          "nameCode": {
            "codeValue": "CareerCenterRefId"
          }
        },
        {
          "nameCode": {
            "codeValue": "GuidelineOid"
          }
        },
        {
          "nameCode": {
            "codeValue": "CurrencySymbolOrCode"
          }
        },
        {
          "nameCode": {
            "codeValue": "HomeDepartment"
          },
          "stringValue": ""
        },
        {
          "nameCode": {
            "codeValue": "JobClass"
          },
          "stringValue": "HYBRID NON-MNGR"
        }
      ],
      "indicatorFields": [
        {
          "nameCode": {
            "codeValue": "PriortyStatusFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "InternalPostingFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "MinValue"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsVsidApplicable"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForExtPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForIntPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsMonetaryFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsNonMonetaryFlag"
          },
          "indicatorValue": false
        }
      ]
    },
    "requisitionTitle": "AI/ML Engineer",
    "clientRequisitionID": "2681",
    "organizationalUnits": [],
    "postingInstructions": [],
    "additionalProperties": {},
    "requisitionLocations": [
      {
        "address": {
          "cityName": "Atlanta",
          "postalCode": "30328",
          "countrySubdivisionLevel1": {
            "codeValue": "GA"
          }
        },
        "nameCode": {
          "shortName": " Atlanta, GA, US"
        },
        "aliasNames": []
      }
    ],
    "screeningRequirements": [],
    "requisitionDescription": "<div><div><div><p style='margin-top:0in;margin-right:0in;margin-bottom:11.25pt;margin-left:0in;font-size:11.0pt;font-family:\"Calibri\",sans-serif;line-height:normal;background:white;' data-pasted=\"true\"><strong><em><span style=\"font-size:16px;font-family:Calibri;color:red;\">Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform.</span></em></strong></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;' data-pasted=\"true\"><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">Job Title: AI/ML Engineer &ndash; Enterprise GenAI Platforms &amp; Employee Enablement</span></strong></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><span style=\"font-size:16px;font-family:Calibri;color:black;\">(hybrid- onsite Monday- Thursday)</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">Location: </span></strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">US-GA-Atlanta (Sandy Springs)</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">FLSA</span></strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">: &nbsp;Exempt&nbsp;</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">Job Overview</span></strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">:</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><span style=\"font-size:16px;font-family:Calibri;color:black;\">We are building an enterprise-wide GenAI capability that combines top-down platform governance with bottom-up employee enablement to drive responsible, scalable AI adoption across the organization. As an AI/ML Engineer focused on GenAI platforms and employee-facing enablement, you will design reusable GenAI services, establish standards, and empower employees to safely use AI through tools such as Microsoft 365 Copilot and internal GenAI applications.</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><span style=\"font-size:16px;font-family:Calibri;color:black;\">This role is highly product-facing and cross-functional, working with IT, security, product, and business teams. You will operate across AWS Bedrock, and GCP Vertex AI, and play a key role in expanding GenAI usage from centralized platforms down to everyday employee workflows.</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">Job Responsibilities:</span></strong></p><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Design and implement enterprise GenAI platform components, including:</span><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">LLM orchestration (LangChain, LangGraph) and provider abstraction (AWS Bedrock, GCP Vertex)</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Prompt and workflow templates</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Evaluation frameworks and telemetry</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Guardrails for safety, compliance, and data protection</span></li></ul></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Define standardized GenAI patterns that product and engineering teams can reuse across the organization.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Partner with architecture, security, and compliance teams to ensure GenAI solutions align with enterprise policies and Responsible AI principles.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Establish technical standards and best practices for GenAI development across onshore and offshore teams.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Support experimentation by business users while ensuring guardrails, monitoring, and auditability.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Work with business stakeholders to identify high-impact employee workflows where GenAI can improve productivity, decision-making, and quality.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Partner with IT and business teams to expand and optimize the use of M365 Copilot across employee roles (operations, customer service, leadership, support teams).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Design and implement integrations that connect enterprise data, knowledge bases, and workflows to M365 Copilot using approved patterns.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Build ML and GenAI solutions that support multiple business domains, including:</span><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Claims loss mitigation and fraud detection</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Customer and agent experience</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Operational efficiency and internal productivity</span></li></ul></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Combine classical ML, rules engines, and LLMs into hybrid systems where appropriate.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Ensure solutions provide explainability, traceability, and measurable business value.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Build enterprise-grade RAG pipelines over structured and unstructured data (policies, procedures, internal documentation, historical records).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Implement document ingestion, chunking, embeddings, re-ranking, and citation-based outputs.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Ensure GenAI responses are grounded, accurate, and auditable.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Define and implement evaluation strategies for ML and GenAI solutions, including:</span><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Accuracy, precision/recall, hallucination rates</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Latency and cost metrics</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">User adoption and satisfaction</span></li></ul></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Build monitoring and feedback loops to continuously improve AI systems.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Apply Responsible AI practices: PII protection, access controls, logging, and audit trails.</span></li></ul><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:0in;font-size:11.0pt;line-height:normal;background:white;'><em><span style=\"font-size:14px;font-family:Calibri;color:#555555;background:white;\">The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.</span></em></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">&nbsp;</span></strong></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">Job Requirements:</span></strong></p><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">3&ndash;4 years of experience in AI/ML engineering, applied data science, or related roles.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Strong proficiency in Python and SQL.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Solid foundation in machine learning (classification, anomaly detection, model evaluation).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Hands-on experience with GenAI systems, including:</span><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Prompt design and testing</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Embeddings and vector search</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Retrieval-Augmented Generation (RAG)</span></li><li style=\"margin-top: 0in;margin-right: 0in;margin-bottom: 8pt;font-size:15px;font-family: initial;color: black;line-height: normal;background: white;\"><span style=\"font-size:16px;font-family:Calibri;\">Structured outputs and validation</span></li></ul></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Experience building and deploying APIs/services (FastAPI or similar).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Familiarity with containerization (Docker) and CI/CD.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Experience working in cloud environments (Azure, AWS, and/or GCP).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Strong communication skills and comfort working in product-facing and enablement<strong>&nbsp;</strong>roles.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Experience building internal platforms, shared services, or enablement frameworks.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Exposure to M365 Copilot extensibility or enterprise productivity tooling.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Familiarity with ML/LLMOps tools (model registries, experiment tracking, prompt/version management).</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Knowledge of Responsible AI, governance, and enterprise data privacy practices.</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Experience in regulated industries (insurance, auto warranty, financial services).</span></li></ul><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">&nbsp;</span></strong></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;line-height:normal;background:white;'><strong><span style=\"font-size:16px;font-family:Calibri;color:black;\">Company Benefits: &nbsp; &nbsp; &nbsp; &nbsp;</span></strong></p><ul type=\"disc\" style=\"margin-bottom:0in;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Medical, Dental, and Vision Insurance &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Flexible Spending Account</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Health Savings Account&nbsp;</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">401(k) Plan with Company Match</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Company-paid Short-Term and Long-Term Disability</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Company-paid Life Insurance</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Paid Holidays and Vacation</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Employee Referral Program</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Employee Assistance Program</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Wellness Programs</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Paid Community Service Opportunities</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Tuition Reimbursement</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">Ongoing Training &amp; Personal Development</span></li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:11.0pt;font-family: initial;color:black;line-height:normal;background:white;\"><span style=\"font-size:16px;font-family:Calibri;\">And More!&nbsp;</span></li></ul><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;background:white;'><strong><span style='font-family:\"Helvetica\",sans-serif;color:black;'>About Safe-Guard Products International:</span></strong></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:8.0pt;font-size:11.0pt;'><span style='font-family:\"Helvetica\",sans-serif;color:black;background:white;'>Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &amp;Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard&rsquo;s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:8.0pt;font-size:11.0pt;'><span style='font-family:\"Helvetica\",sans-serif;color:black;background:white;'>For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:11.25pt;font-size:11.0pt;background:white;'><em><span style='font-family:\"Calibri\",sans-serif;color:black;'>Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.</span></em></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:8.0pt;font-size:11.0pt;'><span style=\"font-family:Calibri;\">&nbsp;</span></p><p style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Calibri\",sans-serif;margin-top:0in;margin-bottom:8.0pt;font-size:11.0pt;'><span style=\"font-family:Calibri;\">&nbsp;</span></p></div></div></div>\n",
    "sponsoredVisaTypeCodes": []
  },
  "list_job": {
    "links": [],
    "itemID": "9201501215483_1",
    "postDate": "2026-04-27T11:43:00.000-04:00",
    "workLevelCode": {
      "shortName": "Full Time Regular Non-Manager"
    },
    "customFieldGroup": {
      "dateFields": [
        {
          "nameCode": {
            "codeValue": "PostingDate"
          },
          "dateValue": "2026-04-27T11:43Z"
        },
        {
          "nameCode": {
            "codeValue": "CurrentServerDateTime"
          },
          "dateValue": "2026-06-06T07:52Z"
        }
      ],
      "numberFields": [
        {
          "numberValue": 0,
          "categoryCode": {
            "codeValue": "ApplicantCount"
          }
        },
        {
          "categoryCode": {
            "codeValue": "AwardAmount"
          }
        }
      ],
      "stringFields": [
        {
          "nameCode": {
            "codeValue": "ExternalJobID"
          },
          "stringValue": "946230"
        },
        {
          "nameCode": {
            "codeValue": "CareerCenterRefId"
          }
        },
        {
          "nameCode": {
            "codeValue": "GuidelineOid"
          }
        },
        {
          "nameCode": {
            "codeValue": "CurrencySymbolOrCode"
          }
        },
        {
          "nameCode": {
            "codeValue": "HomeDepartment"
          },
          "stringValue": ""
        },
        {
          "nameCode": {
            "codeValue": "JobClass"
          },
          "stringValue": "HYBRID NON-MNGR"
        }
      ],
      "indicatorFields": [
        {
          "nameCode": {
            "codeValue": "PriortyStatusFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "InternalPostingFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "MinValue"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsVsidApplicable"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForExtPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForIntPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsMonetaryFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsNonMonetaryFlag"
          },
          "indicatorValue": false
        }
      ]
    },
    "requisitionTitle": "AI/ML Engineer",
    "clientRequisitionID": "2681",
    "organizationalUnits": [],
    "postingInstructions": [],
    "additionalProperties": {},
    "requisitionLocations": [
      {
        "address": {
          "cityName": "Atlanta",
          "postalCode": "30328",
          "countrySubdivisionLevel1": {
            "codeValue": "GA"
          }
        },
        "nameCode": {
          "shortName": " Atlanta, GA, US"
        },
        "aliasNames": []
      }
    ],
    "screeningRequirements": [],
    "sponsoredVisaTypeCodes": []
  },
  "detail_meta": {
    "url": "https://workforcenow.adp.com/mascsr/default/careercenter/public/events/staffing/v1/job-requisitions/946230?cid=7253ba6d-cbb5-4936-9c30-89e4b8eb2c57&ccId=19000101_000001&lang=en_US&locale=en_US",
    "http_status": 200,
    "content_type": "application/json;charset=UTF-8",
    "response_bytes": 32391
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/b51431791e8a15cc073bb230f52330deee055774?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/2de220b1-e415-44c6-a6c9-9aac0fc3b58aJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/29893bcb-66fd-47de-873d-b56331f57cb7JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/b51431791e8a15cc073bb230f52330deee055774/eventsJSON

Docs · Get an API key