Job Description
• Build a common AI cost tracking and observability framework across Azure, Google, and Snowflake.
• Integrate billing and usage APIs (Azure ML, OpenAI, Gemini/Vertex AI).
• Develop model-level metadata tagging for cost attribution and trend analysis.
• Implement and manage Datadog dashboards and alerting for latency, drift, and anomalies.
• Collaborate with DevOps and FinOps on model cost visualization and optimization.
• Deliver knowledge transfer and documentation to internal teams at project close.
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
• 5+ years in MLOps/DevOps/Cloud Engineering focused on AI or ML systems
• Strong experience with Azure ML, Google Vertex AI/Gemini, OpenAI Service
• Expertise in Datadog or equivalent observability tools
• Advanced Python and SQL skills for automation and analytics
• Experience integrating cost and performance monitoring into CI/CD pipelines
• Understanding of FinOps principles, cloud billing APIs, and cost optimization
Nice to Have Skills & Experience
Experience with GenAI/Agentic AI frameworks (LangChain, RAG pipelines) and cost tracking in regulated environments (ISO, SOC2, HITRUST).
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.