Senior Healthcare Forward Deployed Engineer

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.  With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.  You are: Bring deep technical and domain expertise to AI programs at health plans — designing solutions that work inside the realities of core administrative platforms and the claims and member data that flow through them, where AI can ease the burden of adjudication, prior authorization, utilization management, and member and provider service. You'll help payers put AI to work across both the operational and clinical realities of their environment and help define the future of healthcare interoperability. The Work: Lead forward-deployed pods. Own AI programs end-to-end inside health plans, PBMs, and payer operations — directing multiple concurrent workstreams and aligning claims operations, utilization and care management, network and provider data, and analytics and actuarial leaders around outcomes, from architecture through adoption. Scope the program. Define the problem, the intended outcome, and what good looks like — and identify where AI can automate or augment administrative and clinical work. Set and govern the technical architecture. Architect and govern AI programs across payer environments at program scale — spanning multi-system integration across core administrative, claims, and clinical platforms — and articulate it clearly, on paper and in diagrams, for engineers, business and clinical leaders, and executives alike. Design for trust. Make sure the solutions you shape are safe, compliant, and fair — building in the human oversight, transparency, and PHI safeguards that AI touching coverage and payment decisions demands. Reimagine the way of working. Reimagine the future way of working for operations and clinical teams, rather than simply automating today's processes. Shape interoperability. Help define the future of healthcare interoperability — how plans, providers, and the broader ecosystem can connect around claims and clinical data in a deep, meaningful way. Lead and develop the team. Set delivery standards and pace, coach junior FDEs through co-delivery, and own performance management and growth for the engineers in your pod. Shape strategy with executives. Partner with client CIO, CFO, Chief Medical Officer, and health-plan leadership to shape AI reinvention strategy — building value architecture, ROI backlogs, use-case prioritization frameworks, and multi-year adoption roadmaps, with commercial metrics attached. Build the practice. Define and publish reusable methods, blueprints, and accelerators that scale across payer engagements — codifying delivery learnings and engineering standards that grow the FDE practice and develop the next generation of forward-deployed engineers. Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need Minimum of 8 years of hands-on engineering experience with cloud-native systems — APIs, microservices, containerization, and serverless — including working with AI platforms (Claude, OpenAI, Vertex AI, or open-source models) and at least 1 year designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production Minimum 8 years of experience hands-on coding in at least one general-purpose language (e.g., Python, Java) and the ability to pick up others as engagements demand Minimum 8 years of experience with hands-on production deployment experience — CI/CD,