Job Description We are seeking a motivated Senior Data Scientist. You'll design and deploy MCP and agent-based solutions on GCP to improve our Medicare stars program. You'll build agents using local and cloud LLMs. You'll orchestrate agent inputs and outputs, including pre-processing, post-processing, validation, and tool use. You'll partner with engineers, domain experts, and stakeholders to define objectives and deliver production systems. 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.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  3+ years using GCP services (BigQuery, Dataproc, Kubernetes, Vertex AI, GKE)
•  3+ years coding Python in a production cloud environment
•  2+ years deploying ML or agentic systems with CI/CD, on-prem and in the cloud
•  2+ years using orchestration frameworks such as LangGraph, LangChain, OpenAI Agents, or ADK
•  Experience building agents with local and cloud LLMs including API integration, tool calls, workflows, and state management
•  Experience orchestrating agent inputs and outputs, including pre-processing, post-processing, routing, guardrails, validation, and evaluation
•  Experience with SQL (aggregation, window functions, filter, group data)
•  Experience with Git for version control and collaboration
•  Experience with GPU-mounted containers for development and inference workflows
•  Experience hardening container images, including distroless patterns and CVE scanning
•  Strong analytic and communication skills across technical and business audiences
•  Bachelor's degree in data science, statistics, CS, engineering, or a related field (PhD

STRONGLY PREFERRED

)

•  Experience deploying local LLMs with vLLM or SGLang
•  Experience with CUDA, TensorRT, and TensorRT-LLM for GPU inference optimization
•  Experience with LLMOps, including evaluation, tracing, monitoring, and prompt or version management
•  Experience leading AI projects end to end and mentoring junior colleagues
•  Advanced degree in data science, statistics, CS, engineering, or a related field