Generative AI Senior Delivery Lead

Citi • Tampa, FL

1d • $141,440 - $212,160 • Hybrid

About The Position

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.

Requirements

• Deep understanding of foundation models, LLMs, embeddings, tokenization, and context-window management.
• Fluent in applying pre-trained and hosted models to enterprise use cases.
• Expertise in advanced context engineering — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production.
• Adept at advanced prompt engineering techniques and best practices, with familiarity with frameworks that facilitate effective prompt design and management.
• Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.
• 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.
• 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.
• 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.
• Working knowledge of ML frameworks and extensive hands-on experience with AWS (or equivalent) services and infrastructure for AI/GenAI.
• Advanced NLP skills (NER, dependency parsing, text classification, topic modeling).
• Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for LLMOps.
• 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.
• 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.
• Experience with tracing and evaluation tooling (e.g., OpenTelemetry-based observability) for production GenAI and agent systems.
• 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).
• Proven ability to lead and deliver complex, large-scale technical projects from concept to production.
• Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management.
• Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively.
• Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders.
• A passion for applying cutting-edge GenAI and agentic technologies to solve real-world business problems in a practical and efficient manner.
• 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 (PhD preferred).
• 10+ years of overall experience.
• 8+ years of experience in AI/ML, with at least 3 years in Generative AI (including agentic AI).
• 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior