Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, 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 Agent2Agent (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, agent isolation/sandboxing, data privacy, and compliance standards.
Mentor junior team members, provide code reviews, and foster a culture of technical excellence.
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 building RAG systems, including chunking strategies, hybrid search, and multi-vector retrieval.
Practical experience designing knowledge graphs and Graph RAG pipelines (e.g., using graph databases such as Neo4j or ArangoDB) for relationship-aware, multi-hop retrieval.
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 — the Model Context Protocol (MCP) for tool/data access and the Agent2Agent (A2A) protocol for inter-agent collaboration.
Experience with agent observability and evaluation (e.g., tracing, OpenTelemetry-based tooling) for production agent systems.
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).
Proficiency with vector databases and embedding models for large-scale retrieval.
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 skills in Python and experience with data preprocessing, document ingestion, and API development.
Required Soft Skills
Strong collaboration skills to work effectively in cross-functional teams.
Analytical and proactive approach to problem-solving.
Clear communication skills for both technical and non-technical audiences.
Eagerness to learn, innovate, and mentor less experienced developers.
Qualifications
Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.
5+ 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.
#LI-DD2
Job Family Group
Technology
Job Family
Applications Development
Time Type
Full time
Primary Location
Tampa Florida United States
Primary Location Full Time Salary Range
$113,840.00 - $170,760.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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