The Enterprise Data and Analytics organization is seeking a passionate, transformational technology leader to push boundaries and help 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
- 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
- Experience designing for Cloud Security in a distributed multi-cloud environment
Responsibilities
- 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.
- 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.
- Lead the build and execution of POCs and prototypes that serve to qualify and validate emerging data and AI platform solutions and can be leveraged as solution quick starts.
Other
- 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.
- Make it easy for engineers to adopt and implement appropriate and approved solution patterns solving their business partners most pressing and complex needs.
- Provide leadership and mentorship to federated teams of architects and engineers, fostering a culture of innovation, collaboration, and continuous upskilling and learning.
- Cultivate and lead communities of practice that evangelize the benefits and promote the adoption of re-useable solution patterns, along with establishing a feedback mechanism for continuous improvement and iterations of such patterns.
- 10+ years of software engineering experience in a large enterprise operating (preferably in insurance or financial services)
