KEY DETAILS:

• Direct Hire/Perm
• Remote; must be local to San Diego (quarterly meetings)
• Pay: up to $187k
• No C2C or sponsorship

SUMMARY:

Help the Director stand up an AI Center of Excellence and deliver practical AI solutions. You will design and build on Microsoft Azure and Copilot 365, and create a vendor-agnostic AI sandbox with APIs and agents for systems that Copilot does not reach, such as Workday and Salesforce. This is a hands-on role that mixes machine learning experience, data governance, and platform leadership.
Ideal candidate profile: Hands-on AI engineer with production ML experience, strong Azure build skills, data governance knowledge, and a calm approach to process in healthcare. Comfortable coding, writing integration APIs, and advising on platform and roadmap. Influences without formal authority, enjoys long-term programs.
Tools: Python, Node, REST, JSON; Azure OpenAI Service, Functions, API Management, Key Vault; Copilot 365; Informatica or similar; Workday and Salesforce APIs; Git, CI/CD, testing.

REQUIRED QUALIFICATIONS:

• Professional experience delivering ML-powered products or AI features in production
• Strong with Azure services for AI and data, such as Azure OpenAI Service, Functions, API Management, Key Vault, Storage, and monitoring
• Hands-on coding in Python or Node, experience with REST APIs, eventing, and secure integration patterns
• Data governance experience, ideally with Informatica or similar tools, and a clear view of quality and lineage
• Track record creating processes and roadmaps that teams can follow
• Proven ability to navigate complex environments with many reviews and stakeholders

• Build and run an Azure-based AI sandbox with secure API endpoints, agents, and connectors
• Evaluate and extend Microsoft Copilot 365 use cases; define when to use Copilot vs the sandbox
• Create integrations for enterprise apps including Workday and Salesforce using APIs and secure patterns
• Partner with data governance on lineage, quality, cataloging, access controls, and retention, using tools such as Informatica
• Define process, templates, and roadmaps for an AI Center of Excellence, including intake, review, and release steps
• Contribute code and reusable components in Python or Node, including unit and integration tests
• Support model evaluation, safety, privacy, and audit readiness in a regulated healthcare setting
• Coach architects and developers who are newer to ML so the team scales skills over time
  All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions