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The Hartford Financial Services Group, Inc.

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

Reposted 2 Days Ago
Be an Early Applicant
In-Office
3 Locations
168K-253K Annually
Expert/Leader
In-Office
3 Locations
168K-253K Annually
Expert/Leader
This role involves architecting an AI-powered data pipeline platform, leading teams, collaborating with stakeholders, and promoting best practices in cloud-native development.
The summary above was generated by AI
Principal Software Engineer - IE06GE

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.  

 

Main Job Functions 

  • 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. 

 

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. 

  • Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred). 

  • Soft Skills: Strategic thinker, excellent communicator, and advocate for ethical AI governance. 

  • Preferred: 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). 

Why Join Us? 

  • Lead a high-impact initiative at the intersection of AI, data engineering, and cloud technology. 

  • Shape the future of data-driven decision-making for all business units at The Hartford. 

  • Collaborate with top talent in a culture that values innovation, growth, and technical excellence. 

  • Enjoy opportunities for professional development, mentorship, and career advancement. 

 

Ready to architect the future of AI and data at The Hartford? Apply now and help us build a platform that will power the entire enterprise! 

 

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$168,400 - $252,600

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

Top Skills

Api Management
AWS
CloudFormation
Docker
Dynatrace
Event-Driven Architectures
GCP
Github Actions
Google Cloud Platform
Jenkins
Microservices
Multi-Cloud Ecosystems
Openshift
Python
React
Snowflake
Splunk
Streamlit
Terraform
Vertexai

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