Principal Data Scientist, SIP

1110 Invesco Group Services, INC.; Atlanta (GA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching up to 6%

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco is seeking a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems that tackle complex financial challenges. You will work with tools like LangGraph, LangChain, Copilot Studio, and AgentCore to create multi-agent workflows and production-ready solutions.

The role emphasizes hands-on leadership, building and testing AI models, and collaborating with investment professionals and engineers to scale AI initiatives across Invesco Technology.

Qualifications

• 7–10 years of experience in data science or ML focusing on NLP and Generative AI.
• Proficient Python and cloud-native development; comfortable with Docker, CI/CD, and DevSecOps.
• Familiarity with LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.
• Experience creating evaluation metrics and datasets for model validation.
• Proactive use of AI tools to accelerate tasks and explore libraries.
• Interest in at the intersection of data engineering and full-stack development.

Responsibilities

• Lead AI-based tool development with software engineers, data engineers, and investment professionals.
• Design multi-agent reasoning loops using LangGraph, LangChain, or AgentCore.
• Develop evaluation frameworks and gold-standard datasets for model quality.
• Scale AI initiatives across Invesco Technology with reusable patterns and templates.
• Collaborate to integrate AI models into business workflows and move experiments to production.
• Implement systematic testing (RAG, stress tests) to meet finance industry standards.
• Apply emerging techniques in prompt engineering and multi-agent systems.

Skills

NLP

Generative AI

Python

Cloud-native development

Docker

CI/CD

DevSecOps

AI tooling

Tools

LangGraph

LangChain

Copilot Studio

AgentCore

GitHub Copilot

Claude Code

Job description

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?

• 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 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

• Leading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI‑based tools using structured and alternate data sources.
• Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal‑oriented agents.
• Developing robust evaluation frameworks and “gold‑standard” datasets to measure the performance, faithfulness, and accuracy of generative outputs.
• Scaling 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.
• Collaborating 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.
• Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.
• Applying emerging techniques in prompt engineering, fine‑tuning, and multi‑agent systems to solve unique business challenges.

Qualifications

• 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.

Workplace Model & Policy

Full time, pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October1,2025, 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 each other’s growth and development.

Equal Opportunity Employment

Invesco’s culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age or veteran status. Our equal‑opportunity employment efforts comply with all applicable U.S. state and federal non‑discrimination laws.