We are seeking a results-driven Generative AI practitioner with end-to-end experience for the execution and deployment of cutting-edge Generative AI and agentic AI solutions across our enterprise-wide Controls Technology platform. In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI — including context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration — with a proven track record of successfully delivering complex technology projects. This role centers on architecting and delivering solutions built on pre-trained and hosted foundation models, not on training or fine-tuning models.
Key Responsibilities
GenAI Delivery Leadership: Execute the delivery roadmap for generative and agentic AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support.
Team Leadership & Mentorship: Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap.
End-to-End Solution Delivery: Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI and agentic applications. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.
Agentic Solution Delivery: Drive the design and delivery of agentic workflows and multi-agent systems, establishing standards for agent harnesses, orchestration patterns, and reliable long-running agent execution across the platform.
Stakeholder & Program Management: Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery.
Cross-Functional Partnership: Collaborate closely with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams to ensure the seamless integration and operationalization of GenAI and agentic solutions into our existing technology ecosystem.
Technical Excellence & Best Practices: Drive the adoption of best practices in software development (CI/CD), LLMOps, agent observability, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery.
Governance & Ethical Deployment: Implement and enforce robust governance and ethical AI frameworks throughout the delivery process — including guardrails, agent isolation/sandboxing, and responsible AI practices — ensuring compliance with data privacy standards and corporate policies.
Required Technical Skills
Core Generative AI Concepts: Deep understanding of foundation models, LLMs, embeddings, tokenization, and context-window management. Fluent in applying pre-trained and hosted models to enterprise use cases.
Context Engineering: Expertise in advanced context engineering — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production.
Prompt Engineering: Adept at advanced prompt engineering techniques and best practices, with familiarity with frameworks that facilitate effective prompt design and management.
Retrieval-Augmented Generation (RAG): Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.
Knowledge Graphs & Graph RAG: Experience designing and delivering knowledge graphs (e.g., using graph databases such as Neo4j or ArangoDB) and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.
Agentic AI & Multi-Agent Orchestration: Proven experience delivering agentic systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer.
Agent Harness & Interoperability: Strong grasp of harness engineering (governance, constraints, feedback loops, execution controls, agent isolation/sandboxing) and agent interoperability protocols — the Model Context Protocol (MCP) for tool/data access and the Agent2Agent (A2A) protocol for inter-agent collaboration.
Machine Learning Frameworks & Cloud Computing: Working knowledge of ML frameworks and extensive hands-on experience with AWS (or equivalent) services and infrastructure for AI/GenAI.
Natural Language Processing (NLP) & AI Deployment: Advanced NLP skills (NER, dependency parsing, text classification, topic modeling). Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for LLMOps.
Data Engineering & API Development: Strong proficiency in data preprocessing, document ingestion, and handling large-scale datasets. Experience with real-time and streaming AI applications and designing RESTful APIs for model and agent integration.
Generative AI Tools & Platforms: Experienced with LangGraph, Autogen, CrewAI, LangChain, LlamaIndex, Hugging Face, and Google ADK. Familiarity with major GenAI APIs (OpenAI, Gemini, Claude) and version control systems like Git.
Agent Observability & Evaluation: Experience with tracing and evaluation tooling (e.g., OpenTelemetry-based observability) for production GenAI and agent systems.
AI Compliance & Guardrails: Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework).
Required Leadership & Soft Skills
Delivery Leadership: Proven ability to lead and deliver complex, large-scale technical projects from concept to production.
Program Management: Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management.
Strategic Execution: Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively.
Stakeholder Management: Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders.
Pragmatic Innovation: A passion for applying cutting-edge GenAI and agentic technologies to solve real-world business problems in a practical and efficient manner.
Problem Solving: Proactive and analytical mindset to overcome technical and logistical challenges in a fast-paced environment.
Qualifications
Bachelor’s or Master’s degree in computer science, Data Science, AI, or a related field
6+ years of experience in AI/ML, with at least 3 years in Generative AI (including agentic AI).
Extensive hands-on experience with AWS services and infrastructure related to AI/GenAI.
A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.
What We Offer
At Citi, you will work at the forefront of enterprise AI within a global financial institution that is investing significantly in generative AI as a strategic priority. This is a senior leadership role with direct ownership of high-impact delivery, working alongside talented engineers and cross-functional teams across Tampa, FL and Irving, TX.
Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful team collaboration.
Strategic ownership and accountability for a high-visibility AI delivery program that shapes how Citi operates on an enterprise scale.
Access to Citi's global network and the opportunity to work with world-class teams across technology, data, and business functions.
Continuous learning and professional development opportunities, keeping you at the cutting edge of generative AI and agentic technology.
Competitive compensation and a comprehensive benefits package designed to support your financial wellbeing and long-term security.
Wellbeing support and work-life balance resources that help you perform at your best inside and outside of work.
Apply now to take ownership of Citi's generative AI delivery agenda and build agentic systems that redefine how a global financial institution operates.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location:Tampa Florida United States------------------------------------------------------
Primary Location Full Time Salary Range:$141,440.00 - $212,160.00
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.
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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:Aug 25, 2026------------------------------------------------------
Automated Processing and AIWe 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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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- Bachelor's or Master's degree in computer science, data science, artificial intelligence, or a related field
- 6+ years of experience in AI or machine learning
- At least 3 years of experience in Generative AI, including agentic AI
- Extensive hands-on experience with AWS services and infrastructure related to AI or Generative AI
- Proven experience delivering complex, large-scale technical projects from concept through production
- Strong portfolio demonstrating successful delivery of AI solutions in a production business environment
- Deep expertise in foundation models, LLMs, embeddings, tokenization, and context-window management
- Advanced experience with context engineering, prompt engineering, and retrieval-augmented generation
- Experience designing knowledge graphs and Graph RAG architectures using technologies such as Neo4j or ArangoDB
- Proven experience delivering agentic systems and multi-agent orchestration using Google ADK or comparable frameworks
- Strong understanding of agent harness engineering, MCP, and A2A interoperability protocols
- Advanced NLP skills, including named entity recognition, dependency parsing, text classification, and topic modeling
- Expertise in Docker, Kubernetes, CI/CD, and LLMOps deployment practices
- Experience with data preprocessing, document ingestion, large-scale datasets, streaming AI applications, and RESTful APIs
- Experience with agent observability, tracing, and evaluation tooling such as OpenTelemetry
- Knowledge of AI compliance frameworks, responsible AI practices, and guardrail implementation
- Expertise in Agile or Scrum, project planning, resource allocation, and risk management
- Exceptional stakeholder management and communication skills
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
