AI Solutions Engineer

Job Summary

Hands-on and detail-oriented, the full-time Sr AI Solutions Engineer will design and build AI agents and workflows for Patient Services, integrating AI into enterprise systems while working remotely.

Key responsibilities

• Design and build AI agents on Vertex AI, Claude API, and Gemini Enterprise, focusing on productionizing enterprise AI tooling
• Integrate AI capabilities into Salesforce and MuleSoft, creating reusable prompt templates and agent patterns for broader engineering adoption
• Own the agent lifecycle, ensuring quality and performance through monitoring, evaluation, and remediation of deployed agents

Required qualifications

• 5+ years in software engineering with hands-on experience in building production systems
• Advanced proficiency in Python and competence in JavaScript/TypeScript
• Direct experience with cloud AI platforms, preferably Vertex AI, and its SDK
• Demonstrated experience in prompt engineering and LLM application development with models like Claude or Gemini
• Familiarity with agent orchestration frameworks and experience integrating with REST/GraphQL APIs