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
