Principal AI Software & Data Engineer, AI-Enabled Data Engineering Pipeline

The Hartford•Hartford, CT

1d•Hybrid

About The Position

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. What We’re Building The Hartford is launching a strategic initiative to build AI-enabled Data Engineering pipeline products—shared services that will empower all data products, domains, and business units. This platform will leverage Google Cloud Platform (GCP) AI tooling to deliver scalable, secure, and innovative data solutions. Our goal is to accelerate developer and data engineer productivity with automation driving enterprise-wide value and operational excellence. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week. 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. Candidates must be authorized to work in the US without company sponsorship.

Requirements

Experience: 10+ years as a Senior Software/Data Engineer or Software/Data Architect in large-scale, enterprise transformation programs.
Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics along with AgenticAI experience.
Technical Expertise: Deep knowledge of GCP, AWS, and multi-cloud ecosystems. VertexAI, Snowflake Cortex AI, Python, Streamlit, React experience
Experience with AgenticAI frameworks
Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures.
Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices.
GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift).
Leadership: Demonstrated ability to lead, mentor, and inspire technical teams.
Candidates must be authorized to work in the US without company sponsorship.

Nice To Haves

Knowledge of the insurance industry and experience with data integration tools (Informatica, Talend), data platforms (Oracle, Snowflake, S3, RDS), and data management (cataloging, lineage, quality, MDM).
Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred).

Responsibilities

Architect the Future: Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform.
Lead & Inspire: Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Hands-On Solutioning: Balance architecture leadership with hands-on prototyping and solution delivery, ensuring robust, cloud-native, and event-driven designs.
Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and platform architects to translate business needs into robust technical solutions.
Promote Best Practices: Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development and delivery.
Drive Innovation: Evaluate emerging technologies, conduct workshops and proof-of-concepts, and champion the adoption of Agentic AI frameworks for workflow automation and developer productivity.