Sr Cloud Data and AI Engineer

The Hartford is looking for a Senior Cloud Data and AI Engineer to help modernize cloud data engineering and apply AI and automation in support of Employer Benefits actuarial functions. In this role, you will balance technical leadership with customer-facing, iterative delivery to accelerate insights and improve operational efficiency.

Key responsibilities

• Act as a technical expert across Informatica IDMC, Snowflake, AI and Generative AI platforms, cloud-native data services, CICD tooling, environment management, Oracle, metadata-driven architectures, and enterprise data quality processes.
• Evaluate, prototype, and operationalize emerging AI technologies, including Generative AI, Agentic AI workflows, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP)-based integrations.
• Design and develop scalable data solutions supporting pricing and reserving activities for the Employer Benefits Actuarial team.
• Ability to synthesize, reconcile, and explain data differences between GB actuarial output and other standard published data.
• Develop deep understanding of actuarial applications, data elements, and business processes.
• Collaborate with actuarial customers during current financial month close, addressing time-sensitive needs while ensuring strategic solutions are planned for the next release cycle.
• Provide technical leadership and mentorship to junior engineers and support collaboration across onshore and offshore teams.
• Use analytical and problem-solving skills to discover, integrate, and optimize data from diverse sources for informed decision-making and mission-critical processes.
• Consult with cross-functional partners to understand business needs and deliver reliable, maintainable solutions; work directly with customers to gather requirements and provide solutions.
• Build and maintain scalable data pipelines and ETL processes for insurance processing, actuarial analysis, and reporting.
• Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management.
• Research, evaluate, and champion modern data technologies, frameworks, and best practices to drive operational excellence.
• Work within agile delivery frameworks and partner across organizations to strengthen enterprise data assets and capabilities, including pricing and rating process knowledge.

Required qualifications

• Bachelor’s degree with at least 7 years of applicable work experience.
• Experience required with Snowflake, IDMC, Informatica, and Oracle.
• Hands-on experience with AI-assisted engineering tools and capabilities including Snowflake Cortex and Agentic AI, Generative AI platforms, MCP, cloud-based AI services, and intelligent automation frameworks.
• Experience building AI-powered self-service analytics, intelligent data catalogs, automated reconciliation frameworks, or knowledge management solutions.
• Demonstrated passion for continuous learning in Artificial Intelligence, cloud architecture, automation, and emerging technologies.
• Experience with CICD, GitHub, Autosys, and SQL.
• 7+ years experience with ETL, data analysis, and warehouse technologies.
• Strong data warehouse knowledge, preferably in the insurance domain, including expertise in data analysis, data quality, and reconciliation processes.
• Strong experience with Python, R, and other modern languages, including building APIs, automation frameworks, AI-driven applications, and cloud-native data services.
• Experience in on-premises to cloud migration of data pipelines to leverage cloud potential.
• Experience with Agile and Kanban methodologies.

Nice to have

• Group Benefits business knowledge.
• Knowledge of AWS and cloud-based data solutions.

Location, schedule, and compensation

• Location: Chicago, IL (Hybrid)
• Work schedule expectation: Hybrid or Remote; candidates living near an office are expected to work in the office 3 days per week (Tuesday through Thursday), while others maintain their current arrangement with the expectation of coming in as business needs arise.
• Compensation: Annualized base pay range of $117,200 - $175,800. Actual base pay may vary based on performance, proficiency, and demonstrated competencies.
• Other rewards: Short-term or annual bonuses, long-term incentives, and on-the-spot recognition may apply.
• Job reference: R2627133-172