Healthcare AI Forward-Deployed Engineer

Accenture

Arlington (VA)

On-site

USD 120,000 - 190,000

Full time

5 days ago
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Job summary

Accenture in Arlington, VA is seeking an AI Native Engineer to embed with provider and payer teams, redesigning processes around AI and co-creating solutions that address clinical and administrative workflows. You will define problems, architecture, and trust; navigate HIPAA/compliance; and help move ideas to working solutions in production with cloud-native systems and AI platforms.

Travel may be required; strong coding, data, and interoperability expertise are essential to deliver scalable AI

Qualifications

  • 3+ years engineering with cloud-native systems, APIs, microservices and serverless.
  • 3+ years coding in Python or Java, ability to learn others.
  • 3+ years production deployment experience, CI/CD and IaC ownership.
  • 1+ year delivering AI programs inside payer organizations.
  • 1+ year using Claude or frontier AI tools in work.

Responsibilities

  • Embed with provider teams, working inside health systems to co-create AI solutions.
  • Scope programs by defining problems, outcomes, and success metrics.
  • Lead technical architecture of AI programs for provider environments.
  • Design for trust with HIPAA-compliant, safe, clinically sound solutions.
  • Reimagine workflows for clinical and operational teams beyond automation.
  • Shape healthcare interoperability and data exchange strategies.

Skills

Cloud-native systems
Agentic AI design
CI/CD
IaC (Terraform/Helm)
Production deployment

Education

Bachelor's degree in CS/CE or related

Tools

Claude / OpenAI
Vertex AI
Open-source models

Job description

Accenture in Arlington, VA is seeking an AI Native Engineer to embed with provider and payer teams, redesigning processes around AI and co-creating solutions that address clinical and administrative workflows. You will define problems, architecture, and trust; navigate HIPAA/compliance; and help move ideas to working solutions in production with cloud-native systems and AI platforms.

Travel may be required; strong coding, data, and interoperability expertise are essential to deliver scalable AI

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