GenAI Tech Senior Lead
Citi
Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Benefits offered by this job
Job summary
Citi is seeking a GenAI Tech Senior Lead to architect and deliver enterprise-grade GenAI and agentic solutions centered on production-ready capabilities. The role requires steering multi-disciplinary teams, aligning AI initiatives with business objectives, and ensuring robust governance and security across the Controls Technology platform.
The position anchors in Tampa, FL and Irving, TX with a hybrid work model and strong emphasis on CI/CD, MLOps, and scalable AI delivery.
Qualifications
- Bachelor’s or Master’s degree in computer science, Data Science, AI, or a related field.
- 10+ years of overall experience with 6+ years in AI/ML, incl. 3+ years in Generative AI.
Responsibilities
- Lead GenAI delivery across enterprise AI programs, aligning with business goals and timelines.
- Mentor and guide AI engineers; foster execution, collaboration, and continuous improvement.
- Oversee end-to-end design, development, and deployment of GenAI and agentic applications.
- Drive agentic workflows and multi-agent systems, with governance of agent harnesses and orchestration patterns.
- Manage stakeholder expectations and ensure on-time, on-budget delivery.
- Collaborate with Data Mesh, Cloud, MLOps/LLMOps, and business units for seamless integration.
- Promote CI/CD, LLMOps, observability, and Agile/Scrum practices.
- Implement governance and guardrails for ethical AI use and compliance.
Skills
Education
Tools
Job description
26996301
Tampa, Florida, United States, Irving, Texas, United States
On-Site/Resident
Oct. 19, 2026
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
GenAI Tech Senior Lead - SVP (Hybrid)
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.
- 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.
- 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).
- 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.
- Bachelor’s or Master’s degree in computer science, Data Science, AI, or a related field
- 10+ years of overall experience
- 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.
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.
Technology
Applications Development
Full time
Tampa Florida United States
$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.
Please see the requirements listed above.
For complementary skills, please see above and/or contact the recruiter.
Oct 01, 2026
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
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
