Principal AI engineer Seattle, WA (Onsite – Hybrid role)
Role summary
Seeking a Principal AI Engineer for a hybrid, contract role in Seattle, WA. The primary responsibility is to define the enterprise AI strategy and architecture, including platform selection, LLM evaluation, governance, and technical standards, ensuring alignment with the company's digital and analytics roadmap. Requires 10+ years in software development with a focus on AI architecture and system design, experience with distributed/scalable systems, Python, Microsoft Azure, and mandatory healthcare/payer domain experience. Must have 1-2 years of GenAI experience with production deployment exposure and CI/CD/infrastructure automation skills (Azure Pipelines, Bicep).
Principal AI engineer
Location:
Unknown
Country:
United States
Salary:
$65-$70
Start Date:
Description:
Position : Principal AI Engineer
Location : Seattle, WA (Onsite – Hybrid role)
Experience : 10+ Years
Employment Type : Contract
Purpose of the Role
- Define’s Client enterprise AI strategy and architecture, including platform selection, LLM evaluation, governance model, technical standards, and alignment with Client’s long-term digital and analytics roadmap.
•
Required Qualifications
- 10+ years of experience in software development with significant focus on AI
architecture and system design
- Proven experience designing
distributed, scalable, and high-availability systems
- Strong hands-on experience with
Microsoft Azure
- Proficiency in
Python
- Mandatory
healthcare domain experience
, preferably in the
Payer domain
- 1–2 years of hands-on
GenAI experience
, specifically on Azure, with
production deployment exposure
- Hands-on experience with
CI/CD and infrastructure automation
, including
Azure Pipelines and Bicep
- Terraform experience acceptable with readiness to transition to Bicep
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
Preferred / Nice-to-Have
- Azure certifications (e.g., Azure Solutions Architect Expert)
- Experience working with
regulated environments
(HIPAA compliance)
- Exposure to multi-cloud or hybrid cloud architectures
- Experience influencing architecture decisions at an enterprise level