Healthcare AI Frontline Engineer (Forward-Deployed)

Socket.dev; Missouri; On-site; USD 90,000 - 210,000; Full time

Job summary

Accenture is recruiting an AI Native Engineer to work with health providers and payers, embedding within teams to design and deploy AI that improves clinical and administrative workflows. You will define architecture, ensure safety and compliance, and shape interoperability while delivering repeatable AI approaches across engagements.

The role emphasizes fast iteration in healthcare environments, with frontline exposure to AI tooling and HIPAA‑aware practices, and requires collaboration with

Qualifications

• 3+ years hands‑on engineering with cloud‑native systems and AI platforms.
• 3+ years coding in Python or Java and ability to learn others.
• 3+ years production deployment experience with CI/CD and IaC.
• 1+ year delivering AI programs inside payer organizations.
• 1+ year using Claude or frontier AI tools.
• Bachelor's degree or equivalent experience in CS/CE or related field.

Responsibilities

• Embed with provider teams, work inside health systems to co-create AI solutions.
• Scope program: define problem, outcomes, and identify AI automation opportunities.
• Set technical architecture for AI programs in provider environments.
• Design for trust: ensure safety, compliance, PHI safeguards.
• Reimagine workflows for clinical and operational teams.
• Shape interoperability and connect health records with AI.
• Turn engagements into reusable, repeatable AI approaches.

Skills

Cloud-native systems

AI platforms

Agentic solutions

Python/Java coding

CI/CD

Terraform/Helm

Frontier AI tools

Education

Bachelor's degree in Computer Science or related field

Equivalent 12+ years work experience

Tools

Terraform

Helm

CI/CD tooling

Job description

Accenture is recruiting an AI Native Engineer to work with health providers and payers, embedding within teams to design and deploy AI that improves clinical and administrative workflows. You will define architecture, ensure safety and compliance, and shape interoperability while delivering repeatable AI approaches across engagements.

The role emphasizes fast iteration in healthcare environments, with frontline exposure to AI tooling and HIPAA‑aware practices, and requires collaboration with