Data Platform Engineer - AI Development

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

What You Bring

• 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

Nice to Have

• 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.

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.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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