Senior Cloud Data & AI Engineer: Generative AI (Remote)

The Hartford

Charlotte (NC)

Hybrid

USD 117,000 - 176,000

Full time

4 days ago
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Job summary

The Hartford is seeking a Senior Cloud Data Engineer to design and implement scalable data platforms for Employer Group Actuarial services. You will work with AI, cloud-native data services, and CI/CD tooling to accelerate insights and automate processes, while collaborating with customers in an iterative, cross-functional environment.

Hybrid or remote work is supported; candidates near offices may visit 3 days a week.

Qualifications

  • Bachelor’s degree with at least 7 years of relevant experience.
  • Experience with Snowflake, IDMC, Informatica and Oracle.
  • Hands-on AI-assisted engineering, Snowflake Cortex, and MCP capabilities.
  • Experience building AI-powered analytics and data catalogs.
  • Proficiency in CI/CD, GitHub, Autosys, and SQL.
  • 7+ years ETL / Data analysis / Warehouse experience.

Responsibilities

  • Engage as a technical expert in Informatica IDMC, Snowflake, AI platforms, and cloud-native data services.
  • Prototype and operationalize emergent AI technologies including Generative AI and RAG.
  • Design scalable data solutions for pricing and reserving activities.
  • Lead data integration and reconcile data differences for actuarial outputs.
  • Mentor junior engineers across onshore and offshore teams.
  • Develop scalable data pipelines and ETL processes for insurance processing.

Skills

Snowflake
IDMC
Informatica
Oracle
AI / Generative AI
CI/CD
Python
R
ETL
GitHub
Agile / Kanban
AWS cloud

Education

Bachelor’s degree in a technical field

Tools

Autosys
Snowflake Cortex

Job description

The Hartford is seeking a Senior Cloud Data Engineer to design and implement scalable data platforms for Employer Group Actuarial services. You will work with AI, cloud-native data services, and CI/CD tooling to accelerate insights and automate processes, while collaborating with customers in an iterative, cross-functional environment.

Hybrid or remote work is supported; candidates near offices may visit 3 days a week.

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