AI Architect / Forward Deployed Engineer — Healthcare
Compensation
$155k – $220k /yr
Employment type
Full-time
Work setting
On-site
Location
San Francisco, CA
Schedule
Day shift
Posted
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Job overview
The AI Architect / Forward Deployed Engineer — Healthcare role is listed as hybrid remote in San Francisco, CA. The posting states a salary range of $155,000–$220,000 per year. Talent Search PRO is recruiting for work involving AI-enabled architecture and system integration in a healthcare environment. The role translates business and technology requirements into practical AI and cloud solutions. It contributes by integrating modern and legacy platforms, building scalable applications, and aligning implementation with stakeholder objectives and enterprise workflows.
What you'll do
- Design and implement AI-enabled enterprise architecture and cloud-native solutions using Google Cloud Platform
- develop Generative AI solutions with Vertex AI, including prompt engineering, model integration, governance, and production deployment considerations
- build backend applications with Java and Spring Boot
- develop microservices and REST APIs
- connect cloud platforms with legacy systems
- evaluate AI productivity tools including Claude and Antigravity
- collaborate with senior business and technology stakeholders
- support AI integration into enterprise workflows.
What we're looking for
- Skills & competencies
- full-timeai architectforward deployed engineerhealthcarehybrid remotesan francisco cagoogle cloud platformvertex aigenerative aijavaspring bootmicroservices$155k–$220k/year
- Work arrangement
- Weekend coverage required
Why this role
The role combines Google Cloud Platform, Vertex AI, Generative AI, Java, Spring Boot, and enterprise integration in a healthcare environment.
About the employer
Talent Search PRO is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Custom Computer Programming Services
- Occupation code
- 15-1299.08
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Listing ID: e0d29063-8d5d-4b84-ab8c-dc766d5a4fdb