Digital Software Engineering Lead Analyst- Vice President

Citigroup

Tampa, Florida, United States
Base: $125,600.00 - $188,400.00; bonus/equity: not...
Hybrid
Agentic ai systems design and build
Llm, rag, and generative ai engineering
Data integration & pipeline engineering
Citi is seeking a Digital Software Engineering Lead Analyst at the Vice President level in Tampa, Florida, to design and implement enterprise-grade AI solutions. The ideal candidate should have extensive experience in AI/ML engineering, cloud technologies, and strong collaborative skills

Job Summary

  • The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for designing and engineering enterprise grade Agentic AI solutions capable of integrating data from multiple heterogeneous systems and operating reliably at scale.
  • You will act as a hands-on architect, engineer, and partner to cross functional teams—including Data Engineering, Architecture, Enterprise Platforms, and Product—defining the technical approach, AI system design, and integration patterns needed to build robust fault tolerant AI agents and AI driven automation capabilities.
  • Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Matching Summary

Match Score: 85

Citi is seeking a Digital Software Engineering Lead Analyst at the Vice President level in Tampa, Florida, to design and implement enterprise-grade AI solutions. The ideal candidate should have extensive experience in AI/ML engineering, cloud technologies, and strong collaborative skills.

Salary

Base: $125,600.00 - $188,400.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Agentic AI systems design and build
  • LLM, RAG, and Generative AI Engineering
  • Data Integration & Pipeline Engineering
  • Cloud-native GenAI applications
  • MLOps / AIOps pipelines
  • Python, Pandas, NumPy, scikit-learn
  • Vector databases experience

Nice-to-have

  • Responsible AI usage commitment
  • AI systems in regulated environments
  • Knowledge graphs and graph databases
  • AI governance frameworks familiarity

Key Requirements

  • 10+ years of experience
  • Proven experience designing and deploying enterprise-grade AI Systems
  • Bachelor’s degree or equivalent experience required
  • Master’s degree preferred

Work Rights

Not specified

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