AI Engineer

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Position Overview

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.

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 playbooks, training, and office hours that help teams use AI engineering tools effectively.
• Translate emerging AI capabilities into clear recommendations, standards, and practices that teams can adopt.

Qualifications

REQUIRED QUALIFICATIONS

• Five or more years of professional software engineering experience in cloud-based environments.
• Hands-on experience building agentic AI solutions, including agent workflows, prompt design, and tool or API integrations.
• Strong knowledge of Microsoft Azure and experience with GitHub Actions or Azure DevOps.
• Experience building secure CI/CD pipelines with automated testing, security scanning, and quality checks.
• Experience evaluating AI output and applying responsible AI, privacy, and security controls.
• Strong full-stack engineering, API integration, automated testing, version control, and code review skills.
• Working knowledge of observability and monitoring tooling (Azure Monitor, Application Insights) and delivery/issue-tracking platforms (e.g., Jira).

Excellent communication and collaboration skills, with the ability to turn emerging AI capabilities into practical solutions.

PREFERRED QUALIFICATIONS

• Experience with LLMOps or agent observability tooling, including tracing, token spend monitoring, and model routing/fallback, in a production setting.
• Experience in a regulated enterprise technology environment, including direct exposure to PHI-handling or HIPAA compliance requirements.
• Familiarity with Jira or similar modern agile delivery tooling used to plan, track, and orchestrate engineering work.
• Experience standing up an AI or platform engineering capability from the ground up, ideally as an early or founding technical hire.

Company Overview

S:US IS AN EQUAL OPPORTUNITY EMPLOYER 

Join a team of employees who care about the wellbeing of others. We believe in fostering a culture built on our core values: respect, integrity, support, maximizing individual potential and continuous quality improvement. From health and wellness resources to generous PTO, professional development, and more, explore all that we offer on our Benefits Page and see how S:US invests in you. 

We believe in fostering a culture built on our core values: respect, integrity, support, maximizing individual potential and continuous quality improvement.  

All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, sexual orientation, national origin, veteran status, or genetic information and including all other statuses protected by Federal, State and Local laws. S:US is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities, including allowance of the use of services animals. To request reasonable accommodation or if you believe such a request was improperly handled or denied, contact the Leave Team at MyMedicalLeave@sus.org. 

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