GenAI Platform Lead Engineer - Agentic AI

Citigroup Inc.

Irving (TX)

On-site

USD 156,000 - 234,000

Full time

7 days ago
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Job summary

Citigroup Inc. in Irving, TX is seeking a senior GenAI practitioner to lead end-to-end GenAI and agentic AI initiatives across the Controls Technology platform. You will translate AI strategy into production-ready capabilities, combining Python-based engineering with scalable, secure deployments.

The role emphasizes architecting solutions on pre-trained foundation models rather than training them. You will oversee cross-functional teams, ensure performance and security standards, and drive

Qualifications

  • 10+ years of overall experience in technology roles.
  • 8+ years in AI/ML with 3+ years in Generative AI and agentic AI.
  • 5+ years leading technical teams and complex AI projects.
  • Hands-on experience with AWS/Azure/GCP for AI infrastructure.
  • Strong portfolio of production AI solutions.

Responsibilities

  • GenAI Delivery Leadership: drive roadmap and end-to-end project lifecycle.
  • Team Leadership & Mentorship: grow and guide AI engineers and specialists.
  • End-to-End Solution Delivery: design and deploy production-grade GenAI apps.
  • Agentic Solution Delivery: architect agent harnesses and multi-agent systems.
  • Governance & Ethical Deployment: enforce guardrails and privacy compliance.

Skills

GenAI delivery
Team leadership
End-to-end delivery
Agentic workflows
Stakeholder management
Cross-functional partnership
CI/CD
LLMOps
Agile/Scrum
Governance & ethics

Education

Bachelor's or Master's degree in CS/DS/AI

Tools

Python
Transformers
LangChain
LlamaIndex
TensorFlow
PyTorch
Pandas
NumPy
Scikit-learn
Flask/Django
Docker
Kubernetes
Git
Tableau
Power BI
PostgreSQL with vector extensions
pgvector

Job description

Citigroup Inc. in Irving, TX is seeking a senior GenAI practitioner to lead end-to-end GenAI and agentic AI initiatives across the Controls Technology platform. You will translate AI strategy into production-ready capabilities, combining Python-based engineering with scalable, secure deployments.

The role emphasizes architecting solutions on pre-trained foundation models rather than training them. You will oversee cross-functional teams, ensure performance and security standards, and drive

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