AI Solution Engineer, Healthcare Membership

Responsibilities

• Seeking an AI Solution Engineer to leverage .NET and Cloud environment AI‑assisted delivery: coding in a Copilot/GenAI driven environment
• Will perform solution architecture, orchestration, and validation versus hands‑on coding
• Strengthen GenAI responsibilities: Responsible for LLM, prompt engineering, and MLOps content, positioned as core
• Designing AI‑driven workflows, evaluating model outputs, and ensuring reliability and compliance
• Reviewing .NET code for integration layers, APIs, and enterprise patterns
• Accelerating delivery using AI tools (Copilot, code generation, test automation, etc.)
• Defining AI usage patterns, guardrails, security, and compliance
• Writing highly complex design, coding and testing documentation
• Providing technical consulting on highly complex projects
• Leading and mentoring a team of technical professionals

Requirements

• 10+ years of applications and AI design/development coding in a Copilot/GenAI driven environment
• Solution architecture, orchestration, and validation
• GenAI design/development (LLM, prompt engineering, and MLOps content)
• Design of AI‑driven workflows, evaluating model outputs, and ensuring reliability and compliance
• Ability to review .NET code for integration layers, APIs, and enterprise patterns
• Accelerated delivery experience using AI tools (Copilot, code generation, test automation, etc.)
• Leading teams to adopt AI practices
• Experience with Architecture & Governance to define AI usage patterns, guardrails, security, and healthcare compliance (HIPAA/CMS) for AI‑driven solutions
• Healthcare Membership systems experience

Core Competencies

Demonstrates extensive experience in AI Solution Engineering, focusing on .NET and Cloud environments, with a strong emphasis on GenAI design, MLOps, and compliance in healthcare settings. Proven ability to lead teams in adopting AI practices while ensuring the reliability and security of AI‑driven solutions.