Senior Artificial Intelligence (AI) Engineer

The Senior AI Engineer will lead end-to-end delivery of production AI platforms, spanning architecture, model pipelines, multi-agent workflows, and reusable SDKs and frameworks. This role supports remote work and requires collaboration across product, engineering, security, and governance to ensure scalable, observable, cost-efficient, and compliant AI systems.

Responsibilities

• Lead end-to-end delivery of production AI platforms, including solution architecture, orchestration of model pipelines, design of multi-agent workflows, and creation of reusable SDKs and frameworks
• Collaborate with 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
• Address complex problems while ensuring HIPAA compliance and Responsible AI practices

Requirements

• 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 such as open-source contributions or startup work (Required)

Technologies

• Azure OpenAI
• Azure AI Search

Compensation

Salary range: USD 106,080 - 176,820 per year

Benefits

• 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 access to CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Annual discretionary bonus potential if system and eligibility criteria are met

Certification / Licensure

• Preferred: Microsoft Certified Azure AI Engineer, Azure Solutions Architect, or ML specialty credentials

Experience

• 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)