Lead Generative AI Engineer, VP at Citi
Irving, TX
$125,760–$188,640from the description
Aug 6, 2026
Irving, TX
Sep 24, 2026
What this job asks for AI summary
A senior hands-on engineering role within Citi's AI Automation Forward Deployed Engineering team, focused on building and operationalizing generative AI solutions — including agentic workflows, RAG pipelines, and AI-assisted decision platforms — for consumer banking operations. The role spans the full delivery lifecycle from model fine-tuning and orchestration through cloud-native deployment, and also requires architecting AI governance and safety frameworks to meet financial services compliance standards.
Senior level · Dallas-Fort Worth-Arlington, TX · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 4 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 210 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (software developers). range 60–460
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $136,221 (middle half $107,984–$167,709). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 8, 2026. It is a model, not a headcount.
Why we read it this way (7)
The title 'Lead AI/GenAI Engineer' is framed as a senior hands-on role; no explicit years-of-experience floor is stated, so the overall years minimum is left unset.
The SOC classification is Medium confidence: the role is primarily software/AI engineering (building and deploying GenAI systems), but has a meaningful data-science dimension (model fine-tuning, embedding models, ML libraries). 15-1252 Software Developers is the better fit given the emphasis on production delivery, cloud-native architecture, and API development.
A Bachelor's degree is listed only under 'Beneficial Skills & Qualifications' and is explicitly noted as preferred (Master's preferred); no degree is hard-gated, so the degree requirement is None.
FastAPI and Flask are listed together as API development options; FastAPI is named first and is the more common primary choice, with Flask captured as an alternative.
Google ADK and LangChain are listed together as AI orchestration frameworks; both are captured under one skill with LangChain as primary (more widely known) and Google ADK as the alternative.
NeMo Guardrails and Llama Guard are listed as example guardrail tools within the required AI Governance section; both are captured as a single required skill with alternatives.
The role is hybrid (3 days in office, 2 days remote) — not fully remote.
Read the full posting
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