Invesco · Downers Grove, ILPrepare for this interview
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About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: 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 Job Description Your Team: Platform Management sits within Front Office Operations and partners closely with Technology, Operations, Risk, and Business stakeholders to deliver scalable, reliable, and compliant platform capabilities. The team focuses on translating business needs into durable solutions that improve efficiency, transparency, and control across investment and enterprise workflows. We emphasize practical delivery, governance, and long-term operational ownership rather than experimentation alone. Innovation, automation, and responsible AI adoption are key enablers of our strategy. Your Role: The FOO Manager for Innovation and AI is responsible for designing and delivering applied AI and automation solutions that enhance operational performance across enterprise and investment platforms. This role bridges business, operations, and technology to translate complex problems into scalable, production-ready solutions with measurable outcomes. The position emphasizes responsible AI practices, working with an established governance ecosystem but still capable of creating a governance process from the ground up and deploy into regulated environments. You will provide leadership and direction while acting as a trusted advisor to stakeholders across the organization. You Will Be Responsible For: 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 Navigate complex conversations and architectural design discussions with Information Security, Cloud Engineering, Legal & Compliance, Enterprise Architecture, and business partners to 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 Define and track 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 The Experience You Bring: 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 Familiar 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 o utcomes Strong communication and stakeholder partnership skills Hands-on experience with agentic frameworks (e.g., LangGraph, Strands Agents) and cloud-native AI services like Amazon Bedrock a PLUS. #MTIVZ The salary range for this position in Downers Grove is $165,000 - $185,000. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support ea
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