Agentic AI Coach

About the role

The Agentic AI Coach will play a hands on role in designing, coaching, and operationalizing agentic AI solutions for healthcare clients. This role bridges AI engineering, consulting delivery, and change enablement, ensuring AI agents are not only built correctly but are adopted, governed, and embedded into real business workflows. You will work closely with AI architects, healthcare SMEs, and client stakeholders to guide the implementation, orchestration, and responsible use of AI agents across payer operations, analytics, testing, and automation use cases.

Responsibilities

• Agentic AI Enablement & Coaching: Coach delivery teams and clients on how to design, deploy, and operate agentic AI systems, including task decomposition, autonomy levels, guardrails, and human in the loop patterns.
• Guide teams on best practices for agent orchestration, memory, planning, tool usage, and escalation logic.
• Support adoption of agentic AI operating models, including agent lifecycle management, monitoring, and continuous improvement.
• Solution Delivery & Client Engagement: Partner with AI Architects and Consultants to translate business problems into agent based solutions, particularly across payer workflows (claims, prior auth, care management, analytics, testing, ops).
• Participate in client workshops, solution walkthroughs, and demos, explaining agent behavior, outcomes, and limitations in business friendly language.
• Support delivery of agent enabled assessments, pilots, and scaled implementations.
• Responsible AI & Governance: Ensure agentic solutions align with Optum's AI governance, security, and compliance standards, including explainability, auditability, and risk controls.
• Help teams define agent guardrails, approval thresholds, and failure handling to minimize operational and compliance risk.
• Contribute to governance artifacts such as agent design reviews, risk assessments, and usage guidelines.
• Platform & Tooling Support: Work with platforms such as Azure OpenAI, orchestration frameworks, and internal Optum agentic platforms to support delivery teams.
• Assist in configuring agent monitoring, telemetry, and performance metrics.
• Support integration of agents with enterprise systems (APIs, data platforms, workflow tools).

Requirements

• 4‑7 years of experience in AI, data, automation, or digital consulting roles.
• Hands on exposure to GenAI / LLM based systems, including prompt design, tool calling, or workflow automation.
• Practical understanding of agentic AI concepts: autonomy levels, planning, memory, orchestration, and human in the loop patterns.
• Experience working in healthcare payer or provider environments (claims, UM/CM, analytics, ops preferred).
• Strong communication skills with the ability to coach both technical teams and business stakeholders.

Qualifications

• Experience supporting or delivering AI pilots, PoCs, or scaled implementations.
• Familiarity with Responsible AI, governance, or compliance considerations in regulated industries.
• Exposure to Azure, cloud platforms, or MLOps concepts.
• Consulting experience within healthcare, insurance, or life sciences.