Job Description
An education company is hiring a full-time AI/ML Engineer for a remote role. This individual will work directly with the IT Director of Agentic AI to accelerate enterprise-wide adoption of Agentic AI. They will be the primary hands-on builder and act as the liaison between the architect and the development teams to deliver production-ready, enterprise-grade agentic systems that internal lines of business rely on every day. This role is high visibility with huge growth potential as the Agentic AI team expands rapidly. The Director needs someone they can trust to deliver real, production-grade agents fast while keeping everything safe and compliant.
Salary: 70-135k
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
2+ years of industry or full-stack experience
Experience with full-stack AI workflow skills (Node.js, Next.js, React, PySpark, scikit-learn, etc.)
Python proficiency
Agentic development in VS Code
Experience building and shipping end-to-end production agentic AI workflows (you were the primary owner, not just a contributor).
Experience with Responsible AI and Governance
Nice to Have Skills & Experience
Multi-cloud (AWS Bedrock, Azure, GCP Vertex AI, Docker, Kubernetes)
CI/CD, SDLC, security best practices, PII handling, least-privilege access
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.