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Forward Deploy Engineer

Talent GroupsUnited States🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to build and deploy cutting-edge AI solutions directly with healthcare clients, accelerating your career growth in a fast-paced environment. If you have a strong foundation in software engineering and hands-on AI/GenAI experience, you'll thrive here, collaborating with stakeholders and driving impactful innovation. Apply today to shape the future of AI in healthcare!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
23 hours ago

Job Description

10+ Years Exp


Job Description:

We are looking for a Forward Deployed Engineer with strong software engineering and hands-on AI/GenAI experience to work directly with healthcare clients. The ideal candidate will build, integrate, and deploy AI-powered solutions while working closely with client stakeholders.

Key Skills:

  • Strong experience with Python, Java, and/or SQL
  • Hands-on experience with GenAI, LLMs, Prompt Engineering
  • Experience integrating LLMs with APIs and enterprise systems
  • Strong knowledge of REST APIs, data pipelines, and distributed systems
  • Experience with AWS, Azure, or Google Cloud Platform
  • Experience taking AI prototypes/POCs into production
  • Hands-on experience with AI tools such as ChatGPT, Claude, Codex, or GitHub Copilot
  • Strong client-facing and consulting experience
  • Excellent communication and problem-solving skills
  • Healthcare payer/provider experience is a plus
  • Knowledge of claims, utilization management, care delivery, or revenue cycle is preferred

Responsibilities:

  • Build and deploy AI/GenAI solutions in client environments
  • Develop production-ready applications using Python/Java/SQL
  • Integrate AI models, APIs, data pipelines, and enterprise systems
  • Work with client stakeholders to understand requirements and recommend solutions
  • Troubleshoot technical and integration issues
  • Collaborate with engineering, product, and platform teams
  • Take solutions from prototype to scalable production
  • Support deployment, documentation, and knowledge transfer

Education:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

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