Site Reliability Engineer- AI Enablement

Job summary

JOIN ONE OF THE NATION’S LEADING AND MOST IMPACTFUL HEALTH CARE PERFORMANCE IMPROVEMENT COMPANIES. OVER THE YEARS, Hea*** HAS ACHIEVED AND DOCUMENTED CLINICAL, OPERATIONAL, AND FINANCIAL IMPROVEMENTS FOR MANY OF THE NATION’S LEADING HEALTHCARE ORGANIZATIONS. WE ARE ALSO INCREASINGLY SERVING INTERNATIONAL MARKETS.

Qualifications

• You are a trusted partner and advisor — not a gatekeeper — helping teams build AI-powered systems that are reliable, observable, and aligned with our standards.
• Documentation: Maintain clear documentation of AI architecture patterns, governance guidance, and review decisions to support knowledge sharing and organizational learning.
• Continuous Learning: Stay current with the rapidly evolving AI landscape — LLM capabilities, agentic frameworks, AI safety research, and SRE practices for AI systems — and bring relevant insights back to the team.
• What you bring to the role:
• Proven experience solutioning and implementing AI systems in production, including LLM API integration (e.g., Azure AI Foundry, Anthropic Claude) and AI-native application patterns.
• Hands-on experience with at least one agentic or RAG framework (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar).
• Strong SRE or platform engineering background, with working knowledge of observability, reliability principles, and operational best practices.
• Ability to evaluate AI architectures for reliability, security, governance alignment, and operational readiness — and communicate findings clearly 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, prompt safety, and access control for AI services.
• Cloud infrastructure experience with Azure or AWS, including managed AI/ML services.
• Familiarity with container-based architectures (Docker, Kubernetes) and CI/CD pipelines.

Responsibilities

• Be part of a World Class Team responsible for:
• As a Site Reliability Engineer on the Central AI team, you will help Hea*** engineer teams adopt AI responsibly and effectively.
• What you will own in this role…
• Maintain compliance with training directives required by the organization pertaining to Information Security, Acceptable Use Policy and HIPAA Privacy and Security.
• Adhere to and comply with the organizations Acceptable Use Policy.
• Safeguard information system assets by identifying and reporting potential and actual security events to the organizations Security and Compliance Officers.
• The above statements describe the general nature and level of work being performed in this job function.
• They are not intended to be an exhaustive list of all
• and indeed additional
• may be assigned by Hea***

Skills

Degrees

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