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HomeCompaniesPingwindAI Solution Engineer- Ops

AI Solution Engineer- Ops

Pingwind · Huntsville, AL Or Washington, DC · Hybrid · Active · Lever

Job facts

FieldValue
CompanyPingwind
TitleAI Solution Engineer- Ops
Normalized title-
Department / teamTechnician / Engineer
LocationHuntsville, AL, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-04-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Pingwind.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Huntsville.Open
Department jobsActive postings in Technician.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

CompanyPingwind
Sourceb4c510ee-c82f-4911-b45b-444b4150e053
ATS providerLever

Description

Location: Huntsville, AL or Washington, DC Required Clearance: TS/SCI Eligible Required Education: HS/GED Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI Hybrid: 3 days of onsite/ 2 days remote Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs Responsibilities •    Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the Exiger environment •    Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead •    Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent) •    Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning •    Participate in data quality validation workflows and contribute to confidence scoring documentation •    Support iterative analytics configuration releases based on Government feedback cycles •    Maintain pipeline documentation, run logs, and provenance records per program governance standards Required Qualifications •    Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI •    Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent) •    Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources •    Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent) •    Experience working under technical oversight in an integrated government delivery team •    Strong documentation practices and ability to maintain auditable process records Desired Qualifications •    Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources •    Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent) •    Experience working under technical oversight in an integrated government delivery team •    Strong documentation practices and ability to maintain auditable process records Desired Qualifications •    Experience with supply chain data, entity resolution, or risk analytics •    Familiarity with government data handling requirements (CUI, NIST 800-171) •    Experience with containerized deployments (Docker/Kubernetes) •    Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments About PingWind PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL. www.PingWind.com Our benefits include: ·       Eleven Federal Holidays ·       Paid Time Off accrued each pay period ·       Parental Leave ·       Three medical plan choices with generous employer contribution ·       Dental and Vision Insurance ·       Company paid Short-Term and Long-Term Disability ·       Company paid Life and AD&D Insurance ·       401k with competitive matching and vesting schedule ·       Continuing education assistance ·       Short Term / Long Term Disability & Life Insurance ·       Medical, Dependent Care and Commuter Flexible Spending Accounts ·       Employee Assistance Program ·       Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass) ·       529 College Savings Plan ·       Legal Insurance ·       Pet Insurance Veterans are encouraged to apply PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law

Full job record

Job ID328ea0d17e1459c6f6505ef2e9112c91bc5efe5f
Org ID93c57f91-dbef-47ae-a961-23baad808f81
Source IDb4c510ee-c82f-4911-b45b-444b4150e053
Board IDb4c510ee-c82f-4911-b45b-444b4150e053
Providerlever
Provider Job Key5b8498ec-822f-4970-8bbb-df7f24a646c3
TitleAI Solution Engineer- Ops
Normalized Title
Statusactive
Activeyes
Location TextHuntsville, AL Or Washington, DC
DepartmentTechnician
TeamEngineer
Employment TypeFull-Time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionAL
CityHuntsville
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/pingwind/5b8498ec-822f-4970-8bbb-df7f24a646c3
Apply URLhttps://jobs.lever.co/pingwind/5b8498ec-822f-4970-8bbb-df7f24a646c3/apply
First Seen At2026-05-29 07:01:50Z
Last Seen At2026-06-06 07:57:02Z
Last Checked At2026-06-06 07:57:02Z
Last Changed At2026-05-29 07:01:50Z
Inactive At
Source Posted At2026-04-02 16:28:22Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=pingwind/date=2026-06-06/2026-06-06T07-57-01-232Z-73377ea2687416a26eb8beee76128ae230796a4e9513c04cf5b501e59abae2b7.json
Event Fields
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  "last_changed_at": "2026-05-29T07:01:50.717Z",
  "active_status": "active"
}
Parsed Structured
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  "location": {
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    "city": "Huntsville",
    "region": "AL",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:57:02.201Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Huntsville, AL",
      "city": "Huntsville",
      "region": "AL",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [],
  "country": "US",
  "createdAt": 1775147302162,
  "updatedAt": null,
  "categories": {
    "team": "Engineer",
    "location": "Huntsville, AL Or Washington, DC",
    "commitment": "Full-Time",
    "department": "Technician",
    "allLocations": [
      "Huntsville, AL Or Washington, DC"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}
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