Healthcare AI Forward-Deployed Engineer

Accenture; Columbus (OH); On-site; USD 120,000 - 190,000; Full time

Job summary

Accenture is leading a Data & AI initiative to partner with health plans and providers, embedding AI-native engineering inside real clinical and administrative workflows. You will design safe, scalable AI solutions, architect end-to-end programs, and deliver trust-aware systems that improve interoperability and patient care.

Required are hands-on cloud-native engineering, strong coding in Python/Java, and deployment experience with CI/CD and IaC, plus familiarity with Claude, OpenAI, Vertex AI,

Qualifications

• Minimum of 3 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 of 3 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 of 3 years of experience with hands-on production deployment experience - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging - with demonstrated end-to-end delivery ownership in a client-embedded environment
• Minimum of1 year of experience delivering AI or technology programs inside payer organizations.
• Minimum of 1 year of hands-on experience using Claude or an equivalent frontier AI tool to do the work.
• Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or a related field.

Responsibilities

• Embed with provider teams. Work forward-deployed inside health systems, hospitals, and physician groups - alongside clinical informatics, physicians and nurses, and revenue-cycle and operations leaders - redesigning processes around AI and co-creating solutions using AI tooling to move quickly from idea to working solution.
• Scope the program. Define the problem, the intended outcome, and what good looks like - and identify where AI can automate or augment clinical and administrative work.
• Set the technical architecture. Lead the technical architecture of AI programs in provider environments and articulate it clearly, on paper and in diagrams, for engineers and clinical leaders alike.
• Design for trust. Make sure the solutions you shape are safe, compliant, and clinically sound - building the human oversight, transparency and PHI safeguards that AI in care settings demands.
• Reimagine the ways of working. Reimagine the future way of working for clinical and operational teams, rather than simply automating today's processes.
• Shape interoperability. Help define the future of healthcare interoperability - how the broader ecosystem can connect to the health record in a deep, meaningful way.
• Turn engagements into reusable approaches. Distill what works across providers into repeatable methods and accelerators, so each program starts further ahead than the last.

Skills

Cloud-native systems

AI platforms

Agentic solutions

Python/Java

CI/CD

Terraform/Helm

Production deployment

Education

Bachelor's degree in Computer Science or Engineering

Tools

Claude

OpenAI

Vertex AI

Open-source models

Job description

Accenture is leading a Data & AI initiative to partner with health plans and providers, embedding AI-native engineering inside real clinical and administrative workflows. You will design safe, scalable AI solutions, architect end-to-end programs, and deliver trust-aware systems that improve interoperability and patient care.

Required are hands-on cloud-native engineering, strong coding in Python/Java, and deployment experience with CI/CD and IaC, plus familiarity with Claude, OpenAI, Vertex AI,