Drive end-to-end delivery of production AI platforms—leading solution architecture, orchestrating model pipelines, designing multi-agent workflows, and creating reusable SDKs and frameworks.
Collaborate across product, engineering, security, and governance teams to ensure AI systems are scalable, observable, cost-efficient, and compliant.
Define design patterns, optimize operational pipelines, and enable internal reuse of proven solutions.
Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production.
Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals while solving complex problems, ensuring HIPAA compliance and Responsible AI practices.

5 years in production-grade AI/ML (Required)
3 years building and operating production AI/ML systems
training, deployment, monitoring (Required)
One year GenAI /LLM or RAG solution delivered to production or equivalent experience, open-source contributions, or startups. (Required)
Bachelor's degree in Computer Science, Data Science, Computer Engineering, Mathematics/Statistics, or related field or equivalent practical experience delivering production AI/ML systems (Preferred)
Master’s or equivalent experience (Preferred)
Certification/Licensure Microsoft Certified: Azure AI Engineer, Azure Solutions Architect, or ML specialty credentials (Preferred)

Medical, Dental, Vision plans
Adoption, Fertility and Surrogacy Reimbursement up to $10,000
Paid Time Off and Sick Leave
Paid Parental & Family Caregiver Leave
Emergency Backup Care
Long-Term, Short-Term Disability, and Critical Illness plans
Life Insurance
401k/403B with Employer Match
Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education
Student Debt Pay Down – $10,000
Reimbursement for certifications and free access to complete CEUs and professional development
Pet Insurance
Legal Resources Plan
Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.

Senior Artificial Intelligence Engineer

Key skills