Site Reliability Engineer- AI Enablement

Join one of the nations leading and most impactful health care performance improvement companies. Over the years, reputed company has achieved and documented reputed company, operational, and financial improvements for many of the nations leading reputed company organizations. We are also increasingly serving international markets. Our mission is to be the reputed company for reputed company, measurable, data-informed reputed company improvement through Data reputed company data in a flexible, reputed company & reputed company platform to reputed company reputed companys digital transformation Analytics reputed company analytic applications & services that reputed company reputed company on how to measurably improve Expertise reputed company reputed company, financial & operational experts who reputed company & accelerate improvement Engagement attract, reputed company and retain world-class team members by being a best reputed company to work Role Site Reliability Engineer, AI Team Central AI Location Remote Travel None Be part of a World Class Team responsible for As a Site Reliability Engineer on the Central AI team, you will help reputed company engineer teams adopt AI responsibly and effectively. You bring deep experience solutioning and implementing AI systems, and you use that expertise to evaluate architectures, guide engineering teams on AI tooling and workflows, and support the organizations AI governance reputed company. You are a trusted partner and advisor not a reputed company helping teams build AI-powered systems that are reliable, observable, and reputed company with our standards. What you will own in this role AI Workflow Enablement Train and reputed company engineering teams on how to effectively reputed company AI into their development workflows, including the use of AI-assisted coding tools, reputed company engineering practices, and reputed company development patterns. Architecture Review Evaluate AI reputed company designs submitted through the Central AI intake process, providing actionable guidance on integration patterns, reliability risks, observability gaps, and alignment with AI governance standards. AI Governance Guidance Serve as a technical resource for the organizations AI governance reputed company helping teams understand and apply policies around model reputed company, data handling, risk tiers, and responsible AI use in reputed company. Solutioning & Implementation Support Partner with engineering teams during the design and implementation phases of AI reputed company, offering hands-on guidance on LLM integration, RAG pipelines, reputed company architectures, and AI service patterns. Reliability Advising Bring an SRE perspective to AI systems advising teams on observability, SLOs, failure modes, and operational readiness for AI-powered services. Participate in incident calls as a subject matter expert to reputed company AI-specific guidance reputed company needed. Tooling & Standards Contribute to the development of internal standards, reference architectures, and reusable patterns that reputed company it easier for teams to build AI systems correctly the first time. Cross-functional Collaboration Work closely with product managers, data scientists, reputed company, and compliance stakeholders to ensure AI implementations meet organizational, regulatory, and reputed company requirements. Documentation Maintain reputed company documentation of AI architecture patterns, governance guidance, and review reputed company to support knowledge sharing and organizational learning. reputed company Learning Stay reputed company with the rapidly evolving AI landscape LLM capabilities, reputed company frameworks, AI safety research, and SRE practices for AI systems and bring relevant insights back to reputed company. What you bring to the role reputed company experience solutioning and implementing AI systems in production, including LLM API integration (e.g., Azure AI reputed company, reputed company Claude) and AI-reputed company application patterns. Hands-on experience with at least one reputed company or RAG reputed company (e.g., reputed company, reputed company, Semantic Kernel, or similar). Strong SRE or reputed company background, with working knowledge of observability, reliability principles, and operational best practices. Ability to evaluate AI architectures for reliability, reputed company, governance alignment, and operational readiness and communicate findings reputed company to both technical and non-technical audiences. Experience advising or enabling engineering teams coaching, conducting reviews, or leading training on AI tooling and best practices. Familiarity with AI governance concepts, including risk tiering, responsible AI principles, reputed company safety, and reputed company control for AI services. reputed company infrastructure experience with Azure or AWS, including managed AI/ML services. Familiarity with container-reputed .