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HomeCompaniesRecruiting Ultipro Com Afl1002 D535bad2 E3ea C8c8 2fb2 63621892e293Lead AI Engineer, Business Operations (Hybrid or Remote

Lead AI Engineer, Business Operations (Hybrid or Remote

Recruiting Ultipro Com Afl1002 D535bad2 E3ea C8c8 2fb2 63621892e293 · Dallas Business Center, Dallas, TX, United States; Various, USA, United States · Active · UKG Pro Recruiting / Ultimate

Job facts

FieldValue
CompanyRecruiting Ultipro Com Afl1002 D535bad2 E3ea C8c8 2fb2 63621892e293
TitleLead AI Engineer, Business Operations (Hybrid or Remote
Normalized title-
Department / teamIT - Software Engr
LocationDallas, TX, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerUKG Pro Recruiting / Ultimate
Posted / first seen2026-06-05 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Recruiting Ultipro Com Afl1002 D535bad2 E3ea C8c8 2fb2 63621892e293.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through UKG Pro Recruiting / Ultimate.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Dallas.Open
Department jobsActive postings in IT - Software Engr.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

CompanyRecruiting Ultipro Com Afl1002 D535bad2 E3ea C8c8 2fb2 63621892e293
Source2cd52972-43d2-4e85-ae88-44739bf4fb11
ATS providerUKG Pro Recruiting / Ultimate

Description

The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on — including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build worl

Full job record

Job IDd827216f5775e19094c338fb4c302b5d4cb65b79
Org IDade29b38-b01d-4b84-86f1-2011b5d63aeb
Source ID2cd52972-43d2-4e85-ae88-44739bf4fb11
Board ID2cd52972-43d2-4e85-ae88-44739bf4fb11
Providerukg
Provider Job Key0e0c78e0-dce7-4ea0-95b0-987394a17878
TitleLead AI Engineer, Business Operations (Hybrid or Remote
Normalized Title
Statusactive
Activeyes
Location TextDallas Business Center, Dallas, TX, United States; Various, USA, United States
DepartmentIT - Software Engr
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionTX
CityDallas
Salary RawThe Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on — including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build worl
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://recruiting.ultipro.com/AFL1002/JobBoard/d535bad2-e3ea-c8c8-2fb2-63621892e293/OpportunityDetail?opportunityId=0e0c78e0-dce7-4ea0-95b0-987394a17878
Apply URLhttps://recruiting.ultipro.com/AFL1002/JobBoard/d535bad2-e3ea-c8c8-2fb2-63621892e293/OpportunityDetail?opportunityId=0e0c78e0-dce7-4ea0-95b0-987394a17878
First Seen At2026-06-06 10:02:44Z
Last Seen At2026-06-06 19:46:26Z
Last Checked At2026-06-06 19:46:26Z
Last Changed At2026-06-06 10:02:44Z
Inactive At
Source Posted At2026-06-05 18:50:49Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ukg/board=recruiting.ultipro.com|afl1002|d535bad2-e3ea-c8c8-2fb2-63621892e293/date=2026-06-06/2026-06-06T19-46-23-518Z-b091a800cb6c4aa1f92e4f7fa9ca00231d114bed7439a1d650b4419981c2aaf4.json
Event Fields
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  "last_changed_at": "2026-06-06T10:02:44.944Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
    "raw": "Dallas Business Center, Dallas, TX, United States",
    "city": "Dallas",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:46:26.461Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
      "raw": "Dallas Business Center, Dallas, TX, United States",
      "city": "Dallas",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "Title": "Lead AI Engineer, Business Operations (Hybrid or Remote",
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      "DisplayName": true,
      "LocalizedName": "Various, USA",
      "SourceOfTruth": 0,
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  ],
  "MatchScore": 1,
  "PostedDate": "2026-06-05T18:50:49.989Z",
  "JobCategoryName": "IT - Software Engr",
  "JobLocationType": null,
  "OpportunityType": 0,
  "BriefDescription": "The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on — including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build worl",
  "MatchedLocations": [],
  "RequisitionNumber": "LEADA008840"
}
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