Lead Agentic AI Engineer

Work onsite in Irving, TX and lead the design and delivery of production-ready Generative AI and agentic AI capabilities for Citi’s Controls Technology platform.

In this role, you will architect robust agentic applications on top of pre-trained or hosted foundation models, applying context engineering, RAG, knowledge graphs, and multi-agent orchestration patterns. You will also contribute to deployment practices that support scalability, observability, and maintainability for real-world business use cases.

Responsibilities

• Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions for business challenges.
• Architect advanced context engineering strategies, including context layering, chaining, compression, pruning/offloading, and memory management, to improve 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 with hybrid search, multi-vector retrieval, and re-ranking pipelines.
• Design knowledge graphs and Graph RAG architectures to support multi-hop reasoning, explainability, and traceable, grounded responses in high-value domains.
• Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks such as LangGraph, Microsoft Agent Framework, and CrewAI, applying orchestration patterns like supervisor/worker, hierarchical, and peer-to-peer.
• Develop robust agent harnesses for governance, constraints, feedback loops, state/session management, and execution controls to support long-running agent reliability and safety.
• Integrate agents with tools and data via Model Context Protocol (MCP) and orchestrate inter-agent collaboration using the Agent2Agent (A2A) protocol.
• Support production integration of GenAI and agentic applications, ensuring robust deployment, scalability, observability, and maintainability.
• Contribute to the development and optimization of real-time and streaming AI solutions.
• Stay current with advances in generative and agentic AI and share knowledge with the team.
• Ensure adherence to ethical AI guidelines, guardrails, agent isolation/sandboxing, data privacy, and compliance standards.
• Mentor junior team members, provide code reviews, and foster technical excellence.

Requirements

• Deep, hands-on expertise in core generative AI concepts, including 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 building RAG systems, including chunking strategies, hybrid search, and multi-vector retrieval.
• Practical experience designing knowledge graphs and Graph RAG pipelines (example tools include Neo4j or ArangoDB).
• Proven experience building agentic AI systems with Google ADK and/or comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), including tool/function calling, planning, and memory.
• Strong grasp of multi-agent orchestration patterns (supervisor/worker, hierarchical, peer-to-peer) and harness engineering (governance, feedback loops, execution controls, agent isolation/sandboxing).
• Hands-on experience with agent interoperability protocols, including MCP for tool/data access and A2A for inter-agent collaboration.
• Experience with agent observability and evaluation (for example, tracing and OpenTelemetry-based tooling).
• Proficiency with major GenAI APIs (OpenAI, Gemini, Claude, etc.) and orchestration frameworks such as LangChain and LlamaIndex.
• Strong skills in NLP (NER, dependency parsing, text classification, topic modeling) and familiarity with vector databases and embedding models.
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI/agentic applications.
• Solid understanding of AI compliance, guardrails, and responsible AI practices.
• Strong Python skills, including data preprocessing, document ingestion, and API development.
• Strong collaboration skills across cross-functional teams; clear communication for technical and non-technical audiences.
• Analytical and proactive problem-solving approach, with eagerness to learn, innovate, and mentor.
• Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.
• 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.

Benefits

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Planned time off (vacation)
• Unplanned time off (sick leave)
• Paid holidays
• Discretionary and formulaic incentive and retention awards (for eligible employees)

Employment type: Full time

Primary location: Irving, Texas, United States

Salary range: $125,760.00 - $188,640.00 per year

Posting close date: Sep 24, 2026