Senior Agentic AI Engineer; VP

Senior Agentic AI Engineer

The Senior Agentic AI Engineer is a high-impact technical professional who sits at the convergence of advanced AI engineering and enterprise-scale financial technology — a role designed for those who do not just follow the frontier of generative and agentic AI, but actively shape it. This is a position of real consequence: you will help define how one of the world's most complex financial institutions architects, governs, and deploys AI systems that are grounded, reliable, and built to operate  are looking for a practitioner of deep technical conviction — someone who brings mastery of context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and who is energized by the challenge of making these capabilities production-ready within the rigorous demands of a regulated, global enterprise.

The successful candidate will operate at the center of a cross-functional ecosystem — partnering with AI architects, engineering leads, and business stakeholders to design and deliver agentic AI solutions that meaningfully advance Citi's automation and operational efficiency agenda. You will architect sophisticated agent systems, mentor the next generation of AI engineers, and contribute to a culture of technical excellence that sets the standard for how AI is built and governed across the organization.

Your work will directly strengthen Citi's Controls Technology platform, and the ripple effects of what you build will be felt across teams, products, and the millions of clients and communities Citi serves every day.

Responsibilities

• Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges.
• Architect advanced context engineering strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production.
• Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG).
• Build and optimize RAG systems, including hybrid search, multi-vector retrieval, and re-ranking pipelines.
• Design and implement knowledge graphs and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.
• Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks (Lang Graph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer.
• Design robust agent harnesses — governance, constraints, feedback loops, state/session management, and execution controls that make long-running agent systems reliable and safe.
• Integrate agents with tools and data via the Model Context Protocol (MCP) and orchestrate inter-agent collaboration and task delegation via the Agent2
  
  Agent (A2A) protocol.
• Support the integration of GenAI and agentic applications into production environments, ensuring robust deployment, scalability, observability, and maintainability.
• Contribute to the development and optimization of real-time and streaming AI solutions.
• Stay current with the latest advances in generative and agentic AI and actively share knowledge with the team.
• Ensure adherence to ethical AI guidelines, guardrails, data privacy, and compliance standards.
• Mentor junior team members, provide code reviews, and foster a culture of technical excellence.

Qualifications

• 5–7 years of experience in AI/software development, including significant experience in Generative AI and agentic AI.
• Demonstrated portfolio of successful AI-driven projects in a business environment.
• Experience working with AWS (or equivalent) cloud infrastructure for AI/GenAI.

Required Technical Skills

• Deep, hands-on expertise in core generative AI concepts — foundation models, LLMs, embeddings, tokenization, and context-window management.
• Advanced skills in prompt engineering and context engineering, including familiarity with prompt design tools/frameworks and dynamic context orchestration.
• Strong experience…