Product Manager - Tech Delivery - Ai/ml Systems

Bank of America Bank of America · Banking · Jersey City, Chandler +1

Product Manager for AI/ML Systems at Bank of America, focusing on defining strategy, roadmaps, and delivery of AI model enablement and Generative AI capabilities. Requires experience with AI/ML concepts, LLMs, Generative AI, and leading complex AI products from concept to production in a regulated financial environment.

What you'd actually do

  1. Define and execute a multi-year product strategy for AI model enablement and Generative AI capabilities.
  2. Partner with executive leadership to identify high-value AI use cases and align investments with business priorities.
  3. Establish roadmaps for AI platforms, model services, and reusable GenAI capabilities.
  4. As an expert, create the vision and roadmap for the program based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain.
  5. Communicate the program vision and roadmap to stakeholders, Product Owners and the teams.

Skills

Required

  • 7+ years of Product Management experience with technology platforms, AI products, machine learning systems, or data-driven platforms.
  • Strong understanding of AI/ML concepts and model lifecycles.
  • Deep knowledge of Large Language Models (LLMs) and Generative AI technologies.
  • Experience working with OpenAI APIs and services or similar AI platforms.
  • Understanding of Foundation models, Agentic AI frameworks, and Fine-tuning methodologies
  • Experience leading complex products from concept through production deployment.
  • Ability to translate highly technical AI concepts into clear business outcomes.
  • Excellent executive communication and stakeholder management skills.
  • Experience within banking, financial services, fintech, or highly regulated industries.

Nice to have

  • Knowledge of Model Risk Management (MRM) frameworks and AI governance practices.
  • Experience with cloud-based AI services (Azure AI, AWS Bedrock, Google Vertex AI).
  • Familiarity with MLOps, LLMOps, and AI platform engineering.
  • Experience launching AI copilots, conversational AI platforms, agentic workflows, or enterprise knowledge assistants.
  • Understanding of emerging open-source AI ecosystems and model deployment strategies.

What the JD emphasized

  • AI products
  • machine learning systems
  • data-driven platforms
  • AI/ML concepts
  • model lifecycles
  • Large Language Models (LLMs)
  • Generative AI technologies
  • Foundation models
  • Agentic AI frameworks
  • Fine-tuning methodologies
  • AI concepts
  • AI governance practices
  • AI copilots
  • conversational AI platforms
  • agentic workflows
  • enterprise knowledge assistants
  • open-source AI ecosystems
  • model deployment strategies

Other signals

  • Define and execute a multi-year product strategy for AI model enablement and Generative AI capabilities.
  • Partner with executive leadership to identify high-value AI use cases and align investments with business priorities.
  • Establish roadmaps for AI platforms, model services, and reusable GenAI capabilities.