Providence

Principal Service Engineer – AI and ML Architect

Providence

full-time

Posted on:

Location Type: Hybrid

Location: RentonCaliforniaOregonUnited States

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Salary

💰 $68,330 - $121,290 per year

Job Level

About the role

  • Lead AI architecture initiatives that transform IT service delivery at scale
  • Design and implement AI-driven guardrails, governance, and solutions to optimize workflows
  • Translate complex caregiver, business, and technical requirements into resilient, compliant service architectures
  • Design the future of reliable, scalable, caregiver and patient-focused AI services

Requirements

  • Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering -OR- a combination of equivalent education / experience
  • 8 or more years of related experience
  • Strong experience in automation, specifically related to deployment, recovery, or other manual processes
  • Strong experience with n-tier solutions
  • Strong experience with resilience modeling (failure mode analysis) and ability to simulate service outages for point solutions (automated) and platforms (manually)
  • Strong experience influencing engineering team members in translating customer and technical requirements into service architecture to meet Quality of Service Expectations
  • Strong experience leading and representing the Service in backlog discussions and standups to establish appropriate prioritization of Live Site requirements
  • Strong experience leveraging data and metrics to drive behavior, process, and priority decisions
  • Strong experience in advanced problem-solving using systematic procedures and investigating problems utilizing root cause analysis
Benefits
  • Health care benefits (medical, dental, vision)
  • 401(k) Retirement Plan with employer matching
  • Paid time off (vacations, holidays, parental leave, health issues)
  • Voluntary benefits
  • Well-being resources

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI architectureautomationn-tier solutionsresilience modelingfailure mode analysisservice architectureQuality of Serviceroot cause analysisdata analysismetrics-driven decision making
Soft skills
influencingproblem-solvingcommunicationleadershipcollaborationprioritizationtranslating requirementsinvestigative skillsorganizational skillsadaptability
Certifications
Bachelor's Degree in Computer EngineeringBachelor's Degree in Computer ScienceBachelor's Degree in MathematicsBachelor's Degree in Engineering