About this role
Invesco seeks a Principal Data Scientist, SIP, to design, build, validate and scale agentic AI systems addressing financial-services challenges. Within its Advanced Engineering AI center of excellence, the role leads business-sponsored generative AI initiatives from concept through production and collaborates with software engineers, data engineers and investment professionals.
Responsibilities
- Build AI tools using structured and alternative data, and design multi-agent workflows and reasoning loops that turn LLMs into goal-oriented agents. The team uses tools including Copilot Studio, LangGraph, Cortex and AgentCore.
- Develop evaluation frameworks and gold-standard datasets to assess the performance, faithfulness and accuracy of generative outputs. Conduct systematic testing, including RAG evaluation and stress testing, against financial-services compliance and reliability standards.
- Create reusable patterns, prompt templates, agentic harnesses, skills and subagents to help scale development across technology teams, using tools such as GitHub Copilot and Claude Code.
- Work with full-stack engineers to integrate models into business workflows and turn notebook experiments into functional microservices. Apply prompt engineering, fine-tuning and multi-agent techniques to business problems.
Qualifications
- 7–10 years of demonstrated data science or machine learning experience, with a strong emphasis on NLP and generative AI.
- Strong Python and cloud-native development skills, clean modular coding practices, and comfort with Docker, CI/CD and DevSecOps. Familiarity with evaluation metrics and datasets for model validation and testing is expected.
- Exposure to, or strong interest in learning, LangGraph, LangChain, Copilot Studio or AgentCore with Strands; proactive use of AI coding tools such as GitHub Copilot or Cursor; and an interest in data engineering and full-stack development with the ability to respond to sprint feedback.
The full-time position lists Atlanta, Georgia, and Houston, Texas. Invesco describes a hybrid schedule requiring at least four full days each week in an office under its workplace model as of October 1, 2025. Listed benefits include flexible paid time off, health and wellbeing benefits, parental leave, an employee stock purchase plan, and 401(k) matching of 100% on the first 6%, with a discretionary supplemental contribution.