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Forward Deployed Engineer (FDE) / GL 30

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Onsite

Forward Deployed Engineer (FDE) / GL 30

Rarr Technologies

Forward Deployed Engineer (FDE) / GL 30

Skills

Google Cloud PlatformPythonData ScienceMachine LearningAIAWSAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

26 September 2026

What they need


Job Title: Forward Deployed Engineer (FDE) / GL 30

Role Summary

Seeking a senior Forward Deployed Engineer who combines hands-on software engineering, AI/ML, solution architecture, and client-facing consulting. The candidate will work directly with healthcare clients to identify business problems, design AI-powered solutions, build prototypes, and deploy scalable production solutions.

Mandatory Skills

  • 8+ years of hands-on software engineering experience.
  • Strong experience in AI/ML and Generative AI solutions.
  • Hands-on experience with LLMs, prompt engineering, and AI/ML model deployment.
  • Experience building AI applications, LLM workflows, AI agents, copilots, or intelligent automation.
  • Strong Python/modern programming and API development experience.
  • Experience with cloud platforms - AWS, Azure, or GCP.
  • Strong knowledge of distributed systems, cloud-native architecture, APIs, and data integration.
  • Experience in solution architecture/design and taking solutions from prototype to production.
  • 7+ years of consulting/advisory or client-facing experience.
  • Strong stakeholder management, communication, presentation, and storytelling skills.
  • Ability to translate ambiguous business requirements into scalable technical solutions.
  • Experience leading client discovery, solution design, and delivery engagements.
  • Hands-on experience with AI productivity/coding tools such as Codex, Claude, or similar tools.

Preferred

  • Healthcare payer/provider experience.
  • Knowledge of claims, utilization management, clinical workflows, revenue cycle, or member experience.
  • Healthcare data, regulatory, and interoperability knowledge.
  • Masters degree in AI/ML, Data Science, Software Engineering, or related field

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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