Lead Software Engineer, Agentic AI Systems
Collective Health · Lehi, UT | Plano, TX · US
Posted 60+ days ago
Software Engineering
On-site
Not yet analysed
Demand90
Career growth85
Healthcare fit10
Remote potential70
5-year outlook
High demand for AI engineering leadership in healthcare, with compensation typically in the top percentile for software engineering roles. Expect strong salary growth as AI adoption in healthcare accelerates.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Not recommended for most clinicians unless they have a strong software engineering background and extensive experience in AI/ML. This role is a senior engineering position, not a typical non-clinical transition for healthcare professionals.
Who should apply
Clinicians with a computer science degree and significant software engineering experience, particularly in AI/ML, might consider it. Rare profile, but possible for those who have pivoted to tech.
CV angle
If a clinician has such experience, highlight healthcare domain knowledge combined with technical skills in AI/ML, emphasizing understanding of claims data and PHI compliance. For most clinicians, this role is not a fit.
Skills to highlight
- Python
- AI/ML
- LLM
- Google Cloud
- Vertex AI
- Gemini
- RAG
- Prompt Engineering
- Backend Development
- SQL
Role summary
Lead software engineer responsible for building AI agents for claims automation using Google Cloud and Gemini, with a focus on production-grade LLM systems and healthcare data compliance.
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