Principal AI Engineer - Agent Ops / SRE

Principal Software Engineer - IE06GE The Hartford's applied AI COE Team is seeking a Principal AI Engineer - Agent Ops/SRE. The AI-COE serves as a centralized function to accelerate AI maturity, eliminate silos, and streamline AI adoption through standardized processes and technologies, ensuring strong alignment with business objectives. AI-COE is responsible for building reusable AI solutions, horizontal AI Agents, Agent Starter Packs and partnering with other IT/Business unit to deliver and maintain their AI Assets. This role will support data scientist and AI solution engineer to build, deploy & maintain AI-COE products, ensuring reliability, uptime and throughput as per application tiers. This is the most senior individual contributor role, responsible for driving efficiency across the AI delivery lifecycle (AgentOps), while applying strong software and systems engineering practices to scale, operate, and ensure reliability of AI systems (SRE). You will work very closely with AI platform , Cloud Engineering, Security and Enterprise SRE team using their standards and tooling to deploy and maintain the solution. This role requires versatility across DevOps, MLOps, AgentOps, and SRE, with strong expertise in automation and a proven track record of building and operating large-scale, mission-critical systems. If you are passionate about automation and building large-scale distributed systems, we'd love to connect with you.

: • Serve as technical liaison between AI COE and Platform Engineering & Enterprise SRE teams. • Ensure AI systems meet

for performance, latency, throughput, resiliency, recovery, observability and reliability. • Partner with AI engineers, Applied AI Scientist, and AI Architects to design, build and maintain scalable, fault tolerant AI systems as per SLO. • Partner with Platform engineering team to design and implement CICD, GITOps, and IAC (Terraform) modules. Making sure we use our AgentOps NSA, standards, Ref. architecture and tooling. • Partner with enterprise release management and AI Governance team to build & deploy AI solutions using their platform tooling. Supporting entire AI lifecycle as per the standard work template. • Build standardized deployment templates, reference architecture, automation scripts, terraform modules, CICD pipelines, and operational runbooks for AI workloads. • Design and build IDP (Harness) catalogs, templates & pipelines partnering with enterprise platform engineering team. • Manage production systems to ensure our enterprise SLOs are met. • Manage incident response for production systems, including triaging, escalating, RCA and implementing corrective actions.