The Enterprise Data and Analytics organization at The Hartford is seeking a technology leader to build the next generation of Data & AI Platforms that enable agentic frameworks and differentiating data-driven capabilities.
Requirements
- 5+ years of experience designing cloud-based architectures for data and AI platforms
- 10+ years of software engineering experience in a large enterprise operating (preferably in insurance or financial services)
- 5+ years of experience designing large-scale distributed systems in a public/hybrid cloud environment (preferably in AWS or Google)
- Deep understanding and experience with AI/ML engineering workflows and design patterns
- Professional Cloud certification (preferably in AWS or Google)
- 5+ years of experience working with infrastructure-as-code, Python or Go
- Experience with DevOps, MLOps, and CI/CD
Responsibilities
- Key thought leader, collaborator, and contributor, partnering across Enterprise and LOB teams to define Reference Architecture Patterns and drive adoption to meet business, technology, and data strategies.
- Define target state architecture for Data & AI Platforms including multi-cloud distributed storage and compute, model orchestration, and observability systems that provide scalable, resilient, and secure capabilities operating in a cost-optimized manner.
- Collaborate with Data Science, Data Engineering, and Platform Engineering to design a platform architecture that enable a seamless and predictable transition from experimentation and discovery through operating production models at scale in a regulated environment.
- Partner with new data initiatives and related programs to ensure alignment to Enterprise Data Strategy and Architecture, including review and approval of key design documents.
- Make it easy for engineers to adopt and implement appropriate and approved solution patterns solving their business partners most pressing and complex needs.
- Define and evangelize technical platform standards that contribute to highly scalable, self-healing, and secure systems.
- Scan and filter the market for emerging platform solutions, technologies, and new architectural concepts to incorporate into an evolving portfolio of platform capabilities.
Other
- 5+ years of experience in a large enterprise operating (preferably in insurance or financial services)
- 10+ years of software engineering experience
- Bachelor's degree or higher
- Ability to work in a Hybrid or Remote work arrangement
- Expectation of working in an office 3 days a week (Tuesday through Thursday) for candidates who live near an office
