Gen AI Delivery Lead - SVP

Citi-posted 4 months ago
$156,160 - $234,240/Yr
Full-time • Senior
Tampa, FL
5,001-10,000 employees
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We are seeking a results-driven Generative AI Delivery lead to lead the end-to-end execution and deployment of cutting-edge Generative 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 a leader who combines deep technical expertise in generative AI with a proven track record of successfully delivering complex technology projects.

  • Define and execute the delivery roadmap for generative AI projects, ensuring alignment with business objectives and timelines.
  • Manage the entire 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 models.
  • Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment.
  • 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, and business unit teams to ensure the seamless integration and operationalization of AI models into our existing technology ecosystem.
  • Drive the adoption of best practices in software development (CI/CD), MLOps, and project management (Agile/Scrum) within the AI team.
  • Implement and enforce robust governance and ethical AI frameworks throughout the delivery process.
  • Deep knowledge of Large Language Models (LLMs) and advanced fine-tuning techniques.
  • Proficient in Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, QLoRA, Adapter Tuning, Prefix Tuning).
  • Expertise in model compression and quantization methods (AWQ, GPTQ, GPTQ-for-LLaMA).
  • Proficiency with optimized inference engines such as vLLM, DeepSpeed, and FP6-LLM.
  • Adept at advanced prompt engineering techniques and best practices.
  • Advanced knowledge of Retrieval-Augmented Generation (RAG) techniques.
  • Proficiency in TensorFlow, PyTorch, and Keras.
  • Advanced NLP skills (NER, Dependency Parsing, Text Classification, Topic Modeling).
  • Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets.
  • Experienced with LangGraph, Autogen, Crew.ai, LangChain, LlamaIndex, and Hugging Face Transformers.
  • Knowledge of AI compliance frameworks and best practices.
  • Experience implementing guardrails to ensure ethical AI usage and mitigate risks.
  • 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.
  • Exceptional ability to manage expectations and communicate complex technical topics clearly.
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages including vacation, sick leave, and paid holidays
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