Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this AI Engineer role.
Rezi rewrites your resume against Services For The Underserved, Inc.'s job description. Free.
Tailor your resume to this AI Engineer role.
Rezi rewrites your resume against Services For The Underserved, Inc.'s job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer posting at Services For The Underserved, Inc. — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Engineer posting at Services For The Underserved, Inc. — free, in seconds.
About the Role
The AI Engineer builds the standards, tools, and controls that help S:US move AI solutions from experimentation into reliable use. This role partners across IT to deliver secure, reusable, and cost-effective AI capabilities that support the S:US mission.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
- 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.
Skills
- AI Engineering
- Platform Development
- GitHub
- VS Code
- GitHub Copilot
- Azure
- Agent Workflows
- MCP Integrations
- Responsible AI
- Privacy
- Security
- PHI Data Protection
- DevSecOps
- CI/CD Pipelines
- GitHub Actions
- Azure DevOps
- Automated Testing
- Security Scanning
- Quality Checks
- Monitoring
- Cost Management
- Collaboration
- Full-stack Engineering
- API Integration
- Version Control
- Code Review
- Observability
- Azure Monitor
- Application Insights
- Jira
- LLMOps
- Agent Observability
- HIPAA Compliance
Location
- In Person
Work Type
- Full-time
Experience Level
- Five or more years of professional software engineering experience
Salary/Compensations
- USD $150,000.00/Yr. - USD $175,000.00/Yr.
Benefits
- Health and wellness resources
- Generous PTO
- Professional development
About the Company
- S:US is an equal opportunity employer.
- We believe in fostering a culture built on our core values: respect, integrity, support, maximizing individual potential and continuous quality improvement.
Equal Opportunity
- 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.