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.
Our people are at the very 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
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.
You Will Be Responsible For:
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.
The Experience You Bring:
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.
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 each other’s growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
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, 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 laws governing non-discrimination in employment.
Skills Required
- 7-10 years experience in data science or machine learning with strong emphasis on NLP and Generative AI.
- Strong foundation in Python and cloud-native development; write clean, modular code.
- Experience with Docker, CI/CD, and DevSecOps practices.
- Familiarity with designing evaluation metrics and building datasets for model validation and testing.
- Experience leading or collaborating with software engineers, data engineers, and domain experts to productionize AI solutions.
- Exposure to or enthusiasm for learning LangGraph, LangChain, Copilot Studio, AgentCore (with Strands), Cortex.
- Proactive use of AI-assisted developer tools (e.g., GitHub Copilot, Cursor) to accelerate development.
- Experience applying prompt engineering, fine-tuning, multi-agent systems, and RAG evaluation in production contexts.
Invesco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Invesco and has not been reviewed or approved by Invesco.
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Retirement Support — Retirement programs emphasize a strong 401(k) design with immediate eligibility and match vesting, alongside references to employer contributions that support long-term savings. Materials position retirement offerings as a core element of a comprehensive total-rewards package.
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Parental & Family Support — Parental leave is positioned as a robust offering in the U.S. and EMEA, with detailed paid-leave durations previously disclosed and an emphasis on inclusive, gender-neutral policies. Company information indicates broad parental-leave availability as part of total rewards, subject to local specifics.
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Leave & Time Off Breadth — Paid time off and holidays are highlighted as meaningful components of the package, with flexibility noted in some areas. Feedback suggests certain U.S. exempt roles use flexible or “unlimited” PTO approaches that enhance practical time-off access.
Invesco Insights
What We Do
Invesco is an independent investment management firm delivering an investment experience designed to help people get more out of life.
