Lead Software Platform Engineer (MLOps)

Description du poste

We’re looking for a Lead Software Platform Engineer working at the intersection of distributed systems and MLOps. You will own and scale our AI and data infrastructure as a product our customers build their science on, and that every other engineering team builds against You will architect the cloud-based services and MLOps infrastructure that enable production-grade AI/ML workflows, working closely with Applied AI engineers, data engineers, and platform teams, and you will act as the technical design authority for how models, LLMs, and agents run in production The work spans the model and prompt lifecycle, the evaluation and observability harness, the security and tenant boundaries around prompts and retrieval, and the cost and latency controls that keep production AI economically viable at scale This is a highly impactful seat for an engineer who has shipped AI/ML infrastructure as a multi-tenant product rather than internal tooling The model serving, MCP, and agent capabilities you build are consumed directly by scientists at the world’s largest pharmaceutical companies, running against their own data under their compliance obligations If that scope appeals to you, and you thrive on turning ambitious scalability and cost targets into concrete technical strategy inside a regulated environment, we’d love to talk to you Own the technical architecture of the AI/ML platform: the service and API surface our customers use to run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving Design the inference substrate for both real-time and batch AI workloads, including routing, batching, caching, concurrency control, GPU and accelerator capacity planning, handling of large binary inputs such as instrument imag

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