Demo

Forward Deployed AI Engineer

TRC Talent Solutions
Atlanta, GA Contractor
POSTED ON 5/30/2026
AVAILABLE BEFORE 6/28/2026

TRC Talent Solutions is partnering with a nationally recognized, rapidly expanding healthcare organization undergoing a major enterprise AI transformation initiative. Backed directly by executive leadership, the organization is aggressively deploying practical AI solutions designed to improve operational throughput, reduce clinician burnout, and streamline patient workflows across the enterprise.


This is not a research-focused environment centered around theoretical AI experimentation. The organization is seeking execution-focused builders capable of deploying real-world solutions that immediately impact operational efficiency and user experience.


As a Forward Deployed AI Engineer (FDE), you will operate at the intersection of software engineering, workflow optimization, and human-centered problem solving. This role will embed directly with clinical and operational teams to identify real-world friction points and rapidly transform them into scalable, production-ready AI workflows powered by enterprise LLM technologies.


About the Role

This role serves as the front line of enterprise AI deployment initiatives. You will work directly alongside clinicians, patient access teams, operational leadership, and executive stakeholders to deploy AI-enabled workflows that improve efficiency across scheduling, documentation, patient access, and revenue cycle operations.


The ideal candidate combines strong software engineering capability with consultative communication skills and a highly autonomous builder mentality.


Responsibilities

  • Embed directly with clinical and operational teams to observe workflows and identify automation opportunities
  • Design and deploy Claude-powered AI workflows supporting patient access, scheduling optimization, and revenue cycle acceleration
  • Develop secure clinical documentation assistants and operational copilots that improve provider efficiency and reduce administrative burden
  • Integrate AI workflows with existing healthcare systems, APIs, and operational platforms
  • Ensure deployed solutions meet security, compliance, and operational reliability standards
  • Continuously refine AI workflows using human-in-the-loop feedback, workflow telemetry, and pilot adoption metrics
  • Partner closely with executive leadership to prioritize high-impact operational automation initiatives
  • Translate non-technical clinical and operational pain points into scalable software solutions
  • Support pilot deployments and user adoption efforts across clinic environments as needed

Requirements

  • Strong software engineering background with hands-on experience building AI-enabled applications, backend systems, or full-stack platforms
  • Proven expertise with Python development and API integrations
  • Experience with LLM orchestration platforms such as Claude, OpenAI, or similar enterprise AI technologies
  • Strong understanding of prompt engineering and AI-assisted operational tooling
  • Excellent communication and stakeholder engagement skills
  • Ability to operate independently within fast-moving, highly ambiguous environments
  • Demonstrated execution-oriented mindset with a strong builder mentality
  • Willingness to travel occasionally to clinic or pilot locations as needed



TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. At TRC, we take pride in fulfilling our opportunity to add value to our client's business as their staffing partner, while working tirelessly to connect thousands of individuals each year with work opportunities where they can meet the needs of their families and have the potential to build their careers.

Salary : $100 - $110

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