[Hiring] AI Solutions Engineer @Managed Health Care Associates

Role Description

MHA is transforming its Technology division from a traditional, siloed waterfall model into an integrated, AI-first, agentic software delivery organization built on the Microsoft Azure and M365 ecosystem. As the first dedicated AI engineering hire within the Solution Engineering department, the AI Solution Engineer reports to the Director of Solution Engineering and serves as the hands-on technical driver who turns the Agentic SDLC vision into working practice across MHA's engineering squads.

This is a lead/solution engineer role—not a support function. The person in this seat drives MHA's agentic transformation, personally builds foundational tooling and guardrails, and serves as the organization's subject-matter expert on agentic AI engineering, setting standards that squads adopt while those squads retain day-to-day delivery ownership. The role is equal parts builder and evangelist:

• Standing up secure, well-governed CI/CD pipelines.
• Integrating agentic workflows into GitHub, Visual Studio Code, and GitHub Copilot.
• Continuously identifying high-leverage ways to apply AI to accelerate MHA's products and internal delivery.

Success in this role advances MHA's core engineering principles—AI-First Development, Shift-Left Quality, You Build It You Own It, and Azure-Native by Default—and supports enterprise targets such as the year-end goal of 50% agentic code check-in.

Because MHA operates in a healthcare-adjacent environment, this role also ensures agentic tools and workflows comply with MHA's responsible AI use policy and applicable data privacy requirements, including safeguarding PHI and other regulated data.

Qualifications

• 5+ years of professional software engineering experience, including hands-on delivery in cloud-native environments.
• Demonstrated depth in agentic AI development, including prompt engineering, agent orchestration, subagent design, MCP (Model Context Protocol) tool integration, and context engineering.
• Experience building or applying evaluation frameworks for AI/agent output, such as automated evals, regression testing for agentic changes, or human-in-the-loop (HITL) review processes.
• Working knowledge of AI-specific security practices, including prompt-injection mitigation, agent permission scoping, sandboxing, and tool/action allowlisting.
• Strong working knowledge of Microsoft Azure and the M365 ecosystem, including Azure DevOps or GitHub Actions for CI/CD.
• Proven experience building or hardening CI/CD pipelines with embedded security scanning and automated quality gates.
• Solid full-stack engineering foundation, comfortable across application code, infrastructure-as-code, and release automation.
• Strong software engineering fundamentals independent of AI tooling.
• Experience designing for interoperability and orchestration across distributed systems and APIs.
• Understanding of data privacy and responsible AI obligations in a regulated, healthcare-adjacent environment.
• Excellent communication skills, with the ability to translate emerging AI capabilities into practical, adoptable practices for engineers.

Requirements

• Build and own MHA's evaluation framework for agentic and AI-generated output.
• Define quality bars and pass/fail criteria for agentic contributions prior to merge.
• Ensure agentic workflows and AI tool usage comply with MHA's responsible AI use policy.
• Partner with IT Operations & Security on data-handling guardrails.
• Define and enforce AI-specific security controls.
• Assess and mitigate secrets-exposure and software supply chain risk.
• Build out and harden MHA's CI/CD pipelines across GitHub Actions and Azure DevOps/Azure.
• Integrate SonarQube, Playwright, and related tooling.
• Define and monitor pipeline health metrics.
• Stand up telemetry and tracing for agentic workflows.
• Implement token spend and cost monitoring.
• Work directly with cross-functional teams to embed agentic practices.
• Develop lightweight internal training, playbooks, and office hours.
• Identify and prototype novel, high-leverage applications of AI.
• Act as a thought partner to the Director of Solution Engineering and the SVP Technology.

Benefits

• Comprehensive medical, dental, vision and prescription plans with FSA/HSA options.
• Teledoc access.
• Fitness Reimbursement.
• Commuter Benefit Plan.
• Access to an Employee Assistance Program (EAP).
• Paid Time Off.
• Day off for your birthday and a floating holiday.
• Paid Parental Leave.
• 401K with a match.
• Employee Stock Purchase Plan.
• Life Insurance, short-term & long-term disability insurance.
• Access to financial and legal advisors.
• Tuition Reimbursement.
• E-learning programs.
• Ongoing Team Trainings.
• Paid volunteer time-off.
• Donation matching.