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Senior Forward Deployed Engineer - Finance AI Enablement

Omada Health · Remote, USA · US

Software Engineering
Remote
Not yet analysed
Demand90
Career growth90
Healthcare fit25
Remote potential70
5-year outlook
Senior AI engineering roles in health tech command strong compensation, typically in the top percentile of software engineering salaries, with growth driven by AI adoption in enterprise finance. Exact figures vary by location and equity, but the trajectory is highly favorable.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
Date found
2026-08-26

Intelligence details

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Why this is worth applying to

Clinicians without a strong software engineering background should not apply; this role requires production-grade AI engineering skills. However, clinicians with prior engineering experience and healthcare domain knowledge could be competitive, especially given Omada's mission.

Who should apply

Clinicians (e.g., MD/RN) who have transitioned into software engineering, particularly with experience in AI/ML, data engineering, or fintech systems, and who want to apply technical skills in a healthcare setting.

CV angle

Emphasize any software engineering projects, AI/ML implementations, data integration work, and familiarity with healthcare compliance (HIPAA, SOX) from clinical or research contexts. Highlight ability to translate clinical workflows into technical requirements.

Skills to highlight

  • AI/ML engineering
  • Python
  • Data integration
  • Cloud platforms (AWS)
  • Finance systems (NetSuite, Adaptive Planning)
  • Compliance (HIPAA, SOX)
  • Cross-functional collaboration
  • Product thinking

Role summary

An embedded AI engineer who partners with the Finance team at Omada Health to design, build, and deploy AI systems that automate and improve financial workflows, including integration with enterprise platforms and compliance-sensitive data.

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