AI Lead Engineer, Vice President
About The Position
Citi is seeking a hands-on AI Lead Engineer to design, develop, and deploy AI-powered applications and agentic solutions that improve business processes and client delivery. The role combines software engineering, data engineering, and AI/ML expertise to build scalable enterprise solutions in a regulated financial services environment. The engineer will work with architects, product owners, data scientists, and engineering teams on LLMs, agentic AI workflows, Retrieval-Augmented Generation (RAG), and intelligent automation. The position also leads several AI use cases in the portfolio and oversees a team of AI engineers as part of an AI Centre of Excellence. It includes developing production applications and APIs, integrating models and data pipelines, contributing to AI frameworks and tools, and documenting designs, implementations, and operational procedures. Other job-related duties may be assigned as required.
Requirements
- Bachelor’s degree in Artificial Intelligence, Robotics, or a related quantitative field.
- At least 6 years of professional software development experience.
- At least 2 years working with AI/ML, Generative AI, or intelligent automation solutions.
- Strong proficiency in Python and SQL.
- Experience with Generative AI and LLM-based applications.
- Knowledge of prompt engineering, RAG, embeddings, vector databases, and agentic frameworks.
- Experience designing and supporting data pipelines and data integration workflows.
- Understanding of machine learning fundamentals and model evaluation techniques.
- Experience with cloud platforms such as AWS, Azure, or GCP, and containerization technologies such as Docker and Kubernetes.
- Excellent analytical and problem-solving skills, with a creative approach to complex challenges.
- Strong written and verbal communication skills, including the ability to explain complex technical concepts to diverse audiences.
- Ability to collaborate within and across teams and organizations.
Nice To Haves
- Master’s degree in Artificial Intelligence, Robotics, or a related quantitative field.
- Financial services experience; finance domain experience is preferred.
- Proficiency in Java.
- Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
- Experience using OpenAI, Azure, Anthropic, Gemini, Bedrock, or equivalent platforms.
Responsibilities
- Design and implement intelligent agents, including perception, reasoning, planning, and action execution modules.
- Design and develop data pipelines for AI and machine learning workloads, ensuring data quality, lineage, governance, and security requirements are met.
- Integrate machine learning models, including LLMs, reinforcement learning, and predictive models, to enhance agent capabilities and decision-making.
- Develop production-grade applications and APIs using Python and/or Java, including reusable services, microservices, and AI components.
- Use and contribute to agentic AI frameworks and development tools.
- Monitor advancements in AI, especially agent-based systems and autonomous AI, and propose innovative solutions.
- Collaborate with AI researchers, data scientists, product managers, software engineers, and other cross-functional teams to integrate agentic solutions into products and services.
- Create technical documentation for agent designs, implementations, and operational procedures.
- Manage several AI use cases within the portfolio and oversee a team of AI engineers as part of an AI Centre of Excellence team.
Benefits
- Medical, dental, and vision coverage
- 401(k)
- Life, accident, and disability insurance
- Wellness programs
- Paid time off, including planned vacation time and unplanned sick leave
- Paid holidays
- Eligible employees may receive discretionary and formulaic incentive and retention awards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
