Sr Cloud Data and AI Engineer

The Hartford is seeking a Senior Cloud Data and AI Engineer to design scalable cloud data solutions and apply AI and automation capabilities that help accelerate Employer Benefits actuarial insights and improve operational efficiency. The role combines technical leadership, customer collaboration, and delivery of modern data and AI capabilities.

Location and Work Arrangement

• Location: Columbus, OH
• Work model: Full time, Hybrid or Remote
• Office expectation: Candidates near an office location are expected to work in the office 3 days per week (Tuesday through Thursday). Candidates not near an office will maintain the current work arrangement, with the expectation of coming into the office as business needs arise.

Job Ref: R2627133-174

Category: Data & Analytics

Employment Type: Full time

Key Responsibilities

• Continuously engage in education and act as a technical expert across Informatica IDMC, Snowflake, AI and Generative AI platforms, cloud-native data services, CI/CD 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 that support pricing and reserving activities for the Employer Benefits Actuarial team.
• Synthesize, reconcile, and explain differences between GB actuarial outputs 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 to address time-sensitive issues while ensuring strategic solutions are planned for the next release cycle.
• Provide technical leadership and mentorship to junior engineers, fostering collaboration across onshore and offshore teams to deliver innovative, scalable, and sustainable data solutions.
• Discover, analyze, and integrate data from diverse sources to enable informed decision-making and support mission-critical business processes.
• Consult with cross-functional partners to understand business needs and build solutions that are reliable, effective, and maintainable.
• Work directly with customers to understand requirements and deliver solutions aligned to those needs.
• Develop and maintain scalable data pipelines and ETL processes supporting 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 and accelerate data-driven innovation within agile delivery approaches, partnering to enhance enterprise data assets and capabilities.

Required Qualifications

• Bachelor’s degree with at least 7 years of applicable work experience.
• Required experience with Snowflake, IDMC, Informatica, and Oracle.
• Hands-on experience with AI-assisted engineering tools, including Snowflake Cortex and Agentic AI capabilities; Generative AI platforms; Model Context Protocol (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 CI/CD, GitHub, Autosys, and SQL.
• 7+ years experience in ETL, data analysis, or warehouse technologies.
• Strong data warehouse knowledge, preferably within the insurance domain, with demonstrated 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 modernizing data pipelines from on-premises to cloud to leverage full cloud capabilities.
• Experience in Agile and Kanban methodologies.

Preferred Qualifications

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

Compensation

• Annual base pay range: USD 117,200 - 175,800
• Note: Actual base pay may vary based on performance, proficiency, and demonstrated competencies required for the role.

Work Eligibility

• 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.

Relevant Technologies

• Informatica IDMC, Informatica
• Snowflake, Snowflake Cortex
• AI, Generative AI
• Cloud-native data services
• CI/CD tooling, environment management
• Oracle
• Metadata-driven architectures
• Enterprise data quality processes
• Agentic AI workflows
• Retrieval Augmented Generation (RAG)
• Model Context Protocol (MCP)
• Intelligent automation frameworks
• AI-powered self-service analytics, intelligent data catalogs
• Automated reconciliation frameworks, knowledge management solutions
• GitHub, Autosys, SQL
• Python, R, APIs
• AWS
• Agile, Kanban
• ETL, data pipelines