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Sr Cloud Data and AI Engineer

The Hartford
Hartford, USA
Full-time
Senior · 7+ years experience
Remote
Discovered 2 weeks ago
awspythonsnowflakesql

Full Job Posting

Responsibilities

  • Regularly engage in continuing education and serve as a technical expert in 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 high quality, scalable data solutions to enable pricing and reserving activities for Employer Benefit Actuarial team.
  • Ability to synthesize, reconcile, and explain data differences between GB actuarial output against other standard published data.
  • Gain deep understanding on various Actuarial applications, data elements and business process.
  • Work closely with Actuarial customers during the close of current financial months to provide solutions to time sensitive issues while ensuring strategic solutions are planned for next release cycle.
  • Provide technical leadership and mentorship to junior engineers while fostering collaboration across onshore and offshore teams to deliver innovative, scalable, and sustainable data solutions. Leverage strong analytical and problem-solving skills to discover, integrate, and optimize data from diverse sources, enabling informed decision-making and supporting mission-critical business processes.
  • Ability to discover, analyze and integrate data from various sources to support decision making and enable critical business processes
  • Consult with cross-functional team partners to understand business needs and develop reliable and effective solutions that are easily maintainable.
  • Ability to work directly with the customers to understand their needs and provide solutions.
  • Willingness to develop deep functional knowledge in the pricing and rating process.
  • Develop and maintain scalable data pipelines and ETL processes to support 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. Build deep functional knowledge of pricing, rating, and actuarial processes while working within agile delivery frameworks and partnering across organizations to enhance enterprise data assets and capabilities.

Qualifications

  • Bachelor’s degree with at least 7 years of applicable work experience.
  • Experience in following is required: Snowflake, IDMC, Informatica, Oracle
  • Hands-on experience using AI-assisted engineering tools, 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 CICD, GitHub, Autosys, and SQL
  • 7+ years ETL / Data analysis / Warehouse Technologies experience
  • Strong data warehouse knowledge preferably in the insurance domain, Demonstrated expertise in Data analysis, Data Quality and reconciliation processes.
  • Group Benefits business knowledge is a plus.
  • Knowledge of AWS and cloud-based data solutions is a plus
  • Strong experience in Python, R and other modern languages, including experience building APIs, automation frameworks, AI-driven applications, and cloud-native data services.
  • Experience in on-premises to cloud migration of data pipelines, modernizing them to leverage full cloud potential.
  • Experienced in Agile and Kanban Methodologies
  • 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
  • $117,200 - $175,800
  • Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
  • About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Preferred Qualifications

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

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