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Tier-1 employer and metro location increase competition, but specialized platform+LLM skillset limits applicant pool.
Core platform, cloud, and MLOps skills transfer across industries, though regulated pharma experience preferred.
Explicit 7+ years, mandatory cloud/LLM/platform skills, and regulated environment create strict filtering.
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Design and operate cloud and AI platform architectures to support AI orchestration and scalable LLM workloads within a regulated pharma environment.
Lead automation of ML Ops, CI/CD pipelines, developer tooling, and operational processes to improve reliability, scalability, and developer productivity.
Drive FinOps practices for AI/LLM workloads through telemetry, usage analysis, and cost optimization while acting as a technical liaison between teams and business stakeholders.
Bachelor's degree in Information Technology, Computer Science, or related field.
7+ years of hands-on experience in platform and infrastructure engineering.
Proficiency with AWS, Azure, Databricks, Terraform/CloudFormation/ARM, CI/CD tools (Azure DevOps, Jenkins).
Experience in AI architecture & orchestration including LLM platforms, RAG, prompt chaining, and regulated environment production deployment.
Experienced in complex AI platform solutions emphasizing end-to-end AI/ML Ops in regulated industries, preferably pharma.
Strong strategic orientation towards automation, FinOps, and developer experience with a deep understanding of cloud native technologies and cost efficient scaling.
Skilled communicator able to translate complex technical architectures clearly to both technical teams and business stakeholders.