Agentic AI Data Scientist

Responsibilities

• Support The Hartford's AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
• Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
• Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
• Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
• Design, build, and support traditional machine learning solutions, while developing and maintaining robust Python infrastructure using strong coding fundamentals such as object-oriented programming, modular design, and testing.
• Apply AI techniques to complex and heterogeneous risk exposures within Middle & Large Commercial portfolios.
• Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
• Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability.
• Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods.
• Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field.
• 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
• Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
• Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation.
• Proficiency in Python and ML frameworks such as Scikit-Learn, PyTorch, TensorFlow, etc.
• Experience developing and deploying agentic AI workflows and systems
• Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc.
• Strong analytical, problem solving and debugging skills.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Benefits

Additional Information

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Step into the future with The Hartford as an AI Scientist, where Generative AI isn't just a buzzword-it's central to our strategy. Join a team that's advancing AI-driven solutions across underwriting and sales enablement, transforming how complex commercial risks are evaluated and decisions are made. As part of our Applied AI Middle & Large Business team , you'll work on high-impact use cases and help shape the development of GenAI capabilities embedded directly into core business workflows. Here, your work delivers real, measurable impact-driving innovation, efficiency, and smarter decision-making with cutting-edge AI tools. If you're looking for a role where your expertise is essential to the future of commercial insurance, The Hartford is the place for you. We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

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