AI Solutions Engineer (ITS Architect III)

**AI Solutions Engineer (ITS Architect III)

CalOptima** Join Us in this Amazing Opportunity The Team You’ll Join We are a mission driven community-based organization that serves member health with excellence and dignity, respecting the value and needs of each person. If you are ready to advance your career while making a difference, we encourage you to review and apply today and help us build healthier communities for all.

More About The Opportunity We are hoping you will join us as a AI Solutions Engineer (ITS Architect III) and help shape the future of healthcare where you’ll be an integral part of our IT - Data Warehouse and Analytics Technology team, helping to strive for excellence while we serve our member health with dignity, respecting the value and needs of each of our members through collaboration with our providers, community partners and local stakeholders. This position has been approved to be Full Telework .

• If telework is approved, you are required to work within the State of California only and if Partial Telework, also come in to the Main Office in Orange, CA, at least two (2) days per week minimum.

The AI Solutions Engineer will serve as the primary technical resource for the organization’s Enterprise AI Program, taking approved use cases from concept to production deployment. Following a build-and-buy approach, you will configure and extend vendor and embedded AI capabilities and develop targeted internal solutions where appropriate. For internal builds, you primarily leverages the Microsoft AI ecosystem (Copilot Studio, Azure AI, and Power Automate), grounding solutions in governed data from the organization’s cloud-native enterprise data platform. Partnering closely with the AI Solutions Analyst, the incumbent will own technical build, deployment, and production reliability. You will also contribute to the program’s shared AI platform foundation by building reusable components, integration patterns, and engineering standards that let the program scale. Partnering with Enterprise Architecture as a technical collaborator and with Cybersecurity, the AI Solutions Engineer will keep solutions within enterprise security and data-governance boundaries. Together, we are building a stronger, more equitable health system.

Your Contributions To The Team

• 90% - Technical Responsibilities

• Participates in a mission driven culture of high-quality performance, with a member focus on customer service, consistency, dignity and accountability.
• Assists the team in carrying out departmental responsibilities and collaborates with others to support short- and long-term goals and priorities for the department.
• Implements and configures vendor AI and automation platforms from procurement through production deployment, including provisioning, integration, testing, and handoff to operational teams.
• Builds AI agents and workflows using Microsoft-native tooling such as Copilot Studio, uses Power Automate for operational handoffs and triggers, and writes pro-code integrations (Python, REST APIs, JSON) where robust custom logic is required.
• Develops and deploys solutions using Azure AI Document Intelligence to extract, classify, and process structured and unstructured clinical and administrative documents.
• Connects AI platforms and Microsoft tools to operational applications and governed enterprise data, partnering with Data Engineering for source pipelines rather than building them.
• Develops and maintains prompt engineering workflows, agent logic, and retrieval-augmented generation (RAG) pipelines using Azure OpenAI Service and related Azure AI Services, grounding AI agents in governed enterprise data.
• Builds and maintains the program’s shared AI platform foundation and engineering standards, including reusable components, integration patterns, and consistent practices for agent design, security, and deployment.
• Supports proof-of-concept development for internally built AI solutions, evaluating feasibility, documenting findings, and translating successful POCs into production-ready implementations with defined go/no-go criteria.
• Partners with the AI Solutions Analyst on user acceptance testing and quality assurance, focusing on technical deployment and production readiness.
• Owns the operational lifecycle of deployed AI solutions, monitoring performance and output quality, detecting changes in model behavior and prompt or retrieval-qualit…