FOO Manager, Platform Management, Innovation and AI

InvescoDowners Grove, IL
Hybrid

About The Position

Invesco is seeking a Manager, Platform Management, Innovation and AI to join their Front Office Operations team. This role focuses on designing and delivering applied AI and automation solutions to enhance operational performance across enterprise and investment platforms. The position requires bridging business, operations, and technology to translate complex problems into scalable, production-ready solutions with measurable outcomes. Emphasis is placed on responsible AI practices, working within an established governance ecosystem, and the ability to deploy solutions in regulated environments. The role involves providing leadership and acting as a trusted advisor to stakeholders across the organization.

Requirements

  • Strong programming experience in Python
  • SQL strongly preferred
  • Hands-on experience delivering generative AI solutions (e.g., LLMs, RAG, prompt strategies)
  • Solid understanding of machine learning fundamentals, data preparation, LLM’s logging of chain of reasoning to understand LLM logic at any given time, and model evaluation
  • Familiarity with modern orchestration frameworks such as LangChain, LangGraph, AWS Strands Agents, or the Google Gen AI SDK to build agents that plan and execute multi-step tasks
  • Experience deploying AI or advanced analytics solutions beyond proof-of-concept
  • Familiarity with production environments, including cloud platforms and APIs
  • Experience operating in regulated or risk-sensitive industries strongly preferred
  • Ability to align technical solutions to operational goals and measurable outcomes
  • Strong communication and stakeholder partnership skills

Nice To Haves

  • Hands-on experience with agentic frameworks (e.g., LangGraph, Strands Agents)
  • Hands-on experience with cloud-native AI services like Amazon Bedrock

Responsibilities

  • Designing and delivering applied AI and automation solutions that improve efficiency, accuracy, scalability, or decision-making
  • Partnering with technology and platform teams to deploy AI solutions into production environments
  • Navigating complex conversations and architectural design discussions with Information Security, Cloud Engineering, Legal & Compliance, Enterprise Architecture, and business partners
  • Ensuring AI solutions are auditable, secure, and aligned with enterprise architecture standards
  • Contributing to model deployment, monitoring (performance, drift, cost, latency), and operational resilience
  • Applying responsible AI principles including transparency, human-in-the-loop controls, and bias awareness
  • Aligning AI initiatives with internal policies, compliance expectations, and regulatory considerations
  • Defining and tracking key performance metrics to evaluate AI solutions, providing data-driven recommendations for production readiness
  • Communicating AI concepts, risks, and tradeoffs clearly to non-technical stakeholders

Benefits

  • Flexible paid time off
  • Hybrid work schedule
  • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
  • Health & wellbeing benefits
  • Parental Leave benefits
  • Employee stock purchase plan
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