Senior GenAI Engineer - Solutions Architecture

Citigroup

Irving, Texas, United States
Base: $125,760.00 - $188,640.00; bonus/equity: dis...
Hybrid
5+ years software engineering experience
3+ years generative ai or llmops
Python and compiled object-oriented language proficiency
Citi is seeking a Senior GenAI Engineer for Solutions Architecture, responsible for designing and deploying AI solutions in a regulated environment. The role emphasizes technical leadership, compliance, and innovative problem-solving within a collaborative culture

Job Summary

  • This strategic role focuses on designing and deploying advanced AI solutions within Citigroup's highly regulated enterprise environment.
  • The position requires translating complex business challenges into scalable, secure, and compliant AI-powered systems that align with enterprise blueprints.
  • Citi offers competitive benefits including medical, dental, vision coverage, 401(k), life insurance, and paid time off packages.

Matching Summary

Match Score: 85

Citi is seeking a Senior GenAI Engineer for Solutions Architecture, responsible for designing and deploying AI solutions in a regulated environment. The role emphasizes technical leadership, compliance, and innovative problem-solving within a collaborative culture.

Salary

Base: $125,760.00 - $188,640.00; Bonus/Equity: Discretionary and formulaic incentive awards available; Benefits: Medical, dental, vision, 401(k), life, accident, disability, wellness programs

Skills & Requirements

Must-have

  • 5+ years software engineering experience
  • 3+ years Generative AI or LLMOps
  • Python and compiled object-oriented language proficiency
  • RAG and Context Engineering pipeline design
  • Vector database and LLM orchestration expertise
  • Enterprise security and compliance knowledge
  • Distributed containerized ML pipeline deployment

Nice-to-have

  • Strong communication and diplomacy skills
  • Ability to mentor junior team members
  • Experience with legacy architecture modernization
  • Methodical approach to new technologies
  • Strategic business direction recommendations

Key Requirements

  • Bachelor's degree required; Master's considered plus
  • Minimum 5 years software engineering experience
  • Minimum 3 years dedicated to GenAI or LLMOps
  • Expert-level Python and Java/C++ proficiency
  • Proven track record in distributed ML pipelines

Work Rights

Not specified

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