Principal Data Scientist, SIP

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 clients around the world.

About the role

The Advanced Engineering team is Invesco’s AI center of excellence, driving innovation through IVYGPT, agentic AI frameworks, and business-sponsored GenAI solutions that improve efficiency across the firm. The team also promotes AI adoption through meetups, hackathons, and cross-functional collaboration.

We are seeking a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems that solve complex financial challenges. Using tools such as Copilot Studio, LangGraph, Cortex, and AgentCore, you will create multi-agent workflows, develop evaluation frameworks, and lead AI initiatives from concept to production. This role is ideal for a hands-on leader who thrives on building, testing, and scaling AI solutions.

Responsibilities

• Lead and collaborate with software engineers, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.
• Design and implement complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal-oriented agents.
• Develop robust evaluation frameworks and "gold-standard" datasets to measure the performance, faithfulness, and accuracy of generative outputs.
• Scale AI initiatives and agentic development across Invesco Technology teams by creating reusable patterns, prompt templates, agentic harnesses, skills, and subagents with GitHub Copilot and Claude Code.
• Collaborate with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.
• Implement systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.
• Apply emerging techniques in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges.

Requirements

• 7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI.
• Strong foundation in Python and cloud-native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps.
• Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.
• Familiarity with creating evaluation metrics and building datasets for model validation and testing.
• Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.
• A desire to work at the intersection of data engineering and full-stack development, with the agility to pivot based on rapid sprint feedback.

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

Schedule

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which includes spending at least four full days each week working in an Invesco office.