AI Engineering Lead

This is a fully remote position, open to applicants in Kansas.

📋 Description

• Take ownership of the AI Hub Center of Excellence charter, connecting Enterprise AI with Patient Services engineering.

• Integrate and operationalize GCP, Vertex AI, Claude, and Gemini Enterprise tools into the software development lifecycle.

• Transform engineering practices into an AI-augmented model across development, QA, and business analysis.

• Define and lead change management initiatives for AI-first workflows.

• Design the agent deployment and lifecycle framework utilizing Vertex AI.

• Create reusable RAG, tool/function-calling, MCP, and multi-step orchestration patterns.

• Establish standards for the creation, evaluation, deployment, monitoring, and retirement of production agents.

• Oversee AI governance, model selection, PHI/HIPAA compliance, evaluation frameworks, and approved tools.

• Coordinate the approval of data flows and BAA verification with InfoSec.

• Maintain the AI risk register and governance of the prompt/pattern library.

• Lead a hybrid team operating onshore/offshore in a follow-the-sun model.

• Plan the parallel-track delivery of AI MVPs and technology workstreams.

• Define AI velocity KPIs and report on progress and ROI quarterly to the CTO and CFO.

• Act as the senior technical representative for AI when engaging with executive leaders and vendor partners.

• Collaborate with ACTICS, NiCE, MuleSoft integration, and product teams.

⛳️ Requirements

• Minimum of 8 years in software engineering.

• At least 3 years in a technical lead or architect role.

• Proven experience in architecting and deploying LLM-based systems or AI agents in a production environment.

• Proficiency with a major cloud AI platform; preference for Vertex AI, with AWS Bedrock or Azure OpenAI as acceptable alternatives.

• Familiarity with leading LLMs such as Claude or Gemini.

• Working knowledge of RAG, tool use/function calling, orchestration frameworks, and MCP.

• Experience in introducing AI-assisted development tools like Claude Code, GitHub Copilot, or Cursor and promoting their adoption.

• Understanding of Salesforce and enterprise integration tools such as MuleSoft.

• Knowledge of HIPAA/PHI compliance, model risk, and data security protocols.

• Exceptional executive-level communication skills.

• Experience managing distributed onshore/offshore teams.

• Minimal travel required.

• Availability to work 40 hours per week, Monday through Friday.

🏝️ Benefits

• Competitive salary and benefits package.

• Option for remote work.

• Minimal travel obligations.

• Reasonable accommodations for individuals with disabilities.

• Confidential handling of candidate information.

• Commitment to equal opportunity employment.