Principal AI Research Scientist

Role Overview

• Monitor, evaluate, and experiment with emerging AI technologies, research breakthroughs, and industry trends
• Identify opportunities to apply advanced AI techniques to complex business problems across financial services
• Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches
• Develop hypotheses, design experiments, evaluate results, and communicate findings to technical and executive stakeholders
• Contribute to publications, patents, technical whitepapers, and thought leadership initiatives where appropriate
• Rapidly transform research concepts into working prototypes and proof-of-concepts
• Design, develop, and validate AI solutions across the full lifecycle, from data preparation and modeling through deployment and monitoring
• Build experimental and production-ready solutions using modern AI/ML tools, frameworks, and cloud platforms
• Apply best practices in model evaluation, benchmarking, explainability, security, and responsible AI
• Lead the development of solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows
• Design and evaluate AI agents, multi-agent systems, orchestration frameworks, tool-use architectures, memory systems, and human-in-the-loop workflows
• Establish best practices for prompt engineering, model adaptation, evaluation, observability, and governance of LLM-based systems
• Partner with software engineers, platform teams, product managers, and business stakeholders to transition successful prototypes into production environments
• Provide technical leadership throughout deployment and operationalization activities
• Drive architectural decisions for AI solutions while balancing innovation, scalability, security, compliance, and operational requirements
• Mentor engineers and data scientists and provide guidance on advanced AI techniques and best practices
• Take ownership of outcomes and ensure successful delivery of AI capabilities from concept through adoption.

Requirements

• Bachelor's degree, or equivalent work experience
• Eight or more years of relevant experience
• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline (preferred)
• 8+ years of experience in AI/ML research, development, and deployment (preferred)
• Strong programming skills in Python and modern AI/ML frameworks
• Demonstrated experience designing, building, and deploying AI/ML solutions in production environments
• Experience working across the full lifecycle of AI product development, from research and experimentation through deployment and operationalization
• Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and foundation models (preferred)
• Extensive experience with generative AI technologies, including LLMs, fine-tuning, RAG systems, model evaluation, and inference optimization (preferred)
• Experience building and evaluating agentic AI systems, multi-agent workflows, AI orchestration frameworks, and autonomous decision-making architectures (preferred)
• Strong hands-on experience with PyTorch, Hugging Face, Langchain, LangGraph, or equivalent AI ecosystems (preferred)
• Demonstrated record of innovation through publications, patents, open-source contributions, conference presentations, or significant AI solution delivery (preferred)
• Experience developing AI solutions within highly regulated industries such as financial services, healthcare, insurance, or telecommunications (preferred)
• Strong communication skills and the ability to translate complex AI concepts into actionable business outcomes.

Tech Stack

• Cloud
• Python
• PyTorch

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law