Data Platform Engineer - AI Development

Data Engineer - GE08AE
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.

We are seeking a highly skilled Data Platform Engineer ( to design, build, and maintain agentic AI systems that automate and accelerate the creation of enterprise Data Products. This role blends modern data engineering with emerging AI agent technologies to enable end-to-end automation across our data lifecycle.

You will join the Enterprise Data Engineering organization and work closely with architects, AI engineers, and platform teams to shape the next generation of Data Product automation at The Hartford.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

What You'll Do

• Build, deploy, and operate agentic AI systems that assist in Data Product development from inception through production.
• Collaborate with Data Engineering, Architecture, and AI teams to define patterns, guardrails, and reusable services.
• Ensure systems are reliable, observable, secure, and compliant with enterprise governance standards.
• Support and maintain existing AI agents and automation tools in production.
• Contribute to Data Platform Engineering standards and reference architectures

• 2+ years of experience in data engineering, data platforms, or distributed systems.
• Hands-on experience developing production-grade AI agents, automation systems, or generative AI-powered applications.
• Strong proficiency in Python, SQL, and modern data engineering frameworks.
• Experience with cloud-native data platforms and services (GCP preferred).
• Experience with IDMC and Snowflake data platforms.
• Expertise in building and operating ETL/ELT pipelines, orchestration, and metadata-driven systems.
• Knowledge of CI/CD, containerization, and DevOps patterns.
• Strong problem-solving skills and the ability to collaborate across engineering, AI, and platform teams.
• Ability to influence architecture and system design at

• Experience with MCP, and/or custom agent frameworks.
• Familiarity with vector databases, embeddings, or retrieval frameworks.
• Experience building Data Products or supporting data architectures.
• Prior work with monitoring/observability for AI systems.