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AI Engineer

  • Source: iCIMS
  • Services for the UnderServed
  • $150,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

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 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.

Job Requirements

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 ourBenefits 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…

Skills

  • Github
  • visual-studio-code
  • gitHub-copilot
  • microsoft-azure
  • github-actions
  • azure-devops
  • azure-monitor
  • azure-application-insights
  • JIRA
  • icims

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