Lead Software Platform Engineer, MLOps
Core
Architect and scale the multi-tenant AI/ML platform and MLOps infrastructure that enables production-grade AI workflows for scientists at pharmaceutical companies.
Role type
Lead Software Platform Engineer (MLOps)
Builds
Cloud-based services, MLOps infrastructure, model serving, and agent runtimes for scientific data management.
Domain
AI/ML infrastructure, distributed systems, cloud computing, pharmaceutical data.
Deliverable
production ML models
Required skills
Distributed systems architecture, MLOps lifecycle management, model serving, LLM integration (RAG), agentic layer design, security (prompt injection, tenant isolation), evaluation harnesses, observability, infrastructure-as-code, technical leadership.
Preferred skills
Experience with Databricks MLflow, AWS Bedrock, GPU capacity planning, regulated environments.
Technologies
Databricks MLflow, AWS Bedrock, CloudFormation, AWS CDK, MCP, RAG.
Responsibilities
Own technical architecture of the AI/ML platform; manage end-to-end model and prompt lifecycle; design inference substrate for real-time and batch workloads; integrate LLMs and build agentic layers; design security guardrails; build evaluation and quality infrastructure; establish observability and SLI/SLO models; design for reproducibility and lineage; contribute to infrastructure-as-code; lead production readiness and mentor engineers.
Seniority
Senior, hands-on IC with design authority and mentorship.
