AI Engineer

Build standards, tooling, and controls that move AI solutions from experimentation into reliable, secure production use.

Responsibilities

• Build and improve the AI development environment using GitHub, VS Code, GitHub Copilot, Azure, agents, and approved integrations
• Design reusable patterns for agent workflows, multi-agent coordination, MCP integrations, and testing and review processes
• Evaluate emerging AI development tools and recommend options that align with a Microsoft-first environment
• Integrate AI solutions with enterprise platforms and APIs to ensure end-to-end workflow reliability
• Create 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 using access controls, masking, redaction, and approval controls
• Partner with IT Operations & Security to address 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 playbooks, training, and office hours to help teams use AI engineering tools effectively
• Translate emerging AI capabilities into clear recommendations, standards, and practices for teams to adopt

Requirements

• 5+ 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 plus 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 capabilities across API integration, automated testing, version control, and code review
• Working knowledge of observability and monitoring tooling such as Azure Monitor and Application Insights, plus delivery/issue-tracking platforms such as Jira
• Excellent communication and collaboration skills, including translating emerging AI capabilities into practical solutions

Technologies

• GitHub, VS Code, GitHub Copilot
• Azure, MCP
• GitHub Actions, Azure DevOps
• Azure Monitor, Application Insights
• Jira

Preferred Qualifications

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

Benefits

• Health and wellness resources
• Generous PTO
• Professional development

Location: New York, NY (onsite)

Compensation: USD 150,000 - 175,000 per year

Equal Opportunity: S:US is an equal opportunity employer and provides reasonable accommodations for individuals with disabilities. To request reasonable accommodation, or if you believe an accommodation request was improperly handled or denied, contact the Leave Team at [email protected].