AI Engineer

Min USD $150,000. 00/Yr. Max USD $175,000. 00/Yr. Position Overview SCOPE OF ROLE : The AI Engineer builds the standards, tools, and controls that help S:US move AI solutions from experimentation into reliable use.

Reporting to the Vice President, Apps, Data & AI, this role partners across IT to deliver secure, reusable, and cost-effective AI capabilities that support the S:US mission.

KEY RESPONSIBILITIES: AI Engineering & Platform Development Build and improve the AI development environment including GitHub, VS Code, GitHub Copilot, Azure, agents, and approved integrations. Design reusable patterns for agent workflows, multi-agent coordination, MCP integrations, testing, and review.

Evaluate emerging AI development tools and recommend those that fit S:US’s Microsoft-first environment. Integrate AI solutions with enterprise platforms and APIs so workflows operate reliably from end to end.

Quality, Security & Responsible AI Build testing and evaluation practices for AI-generated output, including automated checks and human review for higher-risk changes. Apply responsible AI, privacy, and security requirements to agent workflows and AI tools.

Protect PHI and other sensitive client, employee, and business data through appropriate access, masking, redaction, and approval controls. Partner with IT Operations & Security to manage prompt injection, permissions, third-party tools, secrets, and software supply chain risks.

DevSecOps, Monitoring & Cost Management Build and strengthen CI/CD pipelines using GitHub Actions, Azure DevOps, and Azure. Embed automated testing, security scanning, and quality checks into the software delivery process. Monitor agent performance, reliability, latency, token usage, and cost.

Use performance and cost data to improve models, workflows, and platform decisions. Collaboration & Enablement Partner with Applications, Data, Analytics, IT Infrastructure & Security, and PMO to apply shared AI standards and improve delivery. Create practical playbo