Engineer., SIP

About the Role

As a Software Engineer on the Strategy, Innovation & Planning (SIP) team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset—focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco.

Key Responsibilities

• Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.
• Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle.
• Developing and refining Invesco’s Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features.
• Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers.
• Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases.
• Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems.
• Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing.

Requirements & Tech Stack

• Python (for AI/Backend)
• TypeScript / React (for Frontend)
• AI coding assistants and LLMs
• LangGraph, LangChain
• Docker
• Git version control
• Basic cloud concepts (AWS or Azure)

Qualifications

• Creative Problem Solver: 0–2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications.
• Modern Tech Stack: Foundational proficiency in Python and TypeScript/React.
• AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently.
• Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns.
• Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure).
• Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies.