Prologis is looking to architect and evolve the GenAI platform that drives business value across its global operations, requiring a Lead AI/ML Platform Engineer to lead the execution of strategy and technical direction.
Requirements
- Deep expertise with AWS (EC2, S3, Lambda, EKS) and infrastructure‑as‑code with Terraform or CloudFormation.
- Hands‑on Kubernetes experience and strong grasp of containerized microservice architectures.
- Advanced software engineering skills in Python with experience building high‑throughput APIs and real‑time serving systems.
- Strong SQL skills
- Proven track record implementing CI/CD, MLOps frameworks, and observability tooling.
- Practical experience with LLM tooling and vector databases (OpenAI, LangChain, Pinecone) and designing agent context, memory, and retrieval.
- Demonstrated ability to design secure, compliant systems and manage cost efficiency.
Responsibilities
- Design and own AI/ML infrastructure for scalable, secure, cloud-native platforms (Dataiku, AWS, OpenAI, Pinecone).
- Lead GenAI platform development including prompt workflows, agent context, memory, and retrieval architectures.
- Design and own custom Model Context Protocol (MCP) server architecture.
- Build scalable EKS-based backends to support MCP services and real-time AI API endpoints.
- Define and enforce CI/CD, MLOps, and IaC standards across all AI projects.
- Architect Agent evaluation tooling, cost tracking, and feedback loops.
- Establish agent scalability & governance: develop template‑driven scaling patterns and define platform standards and lifecycle governance for reusable agents.
Other
- 8+ years building and operating production ML/AI platforms, including 3+ years in a technical‑lead capacity.
- Skilled communicator and mentor, able to lead distributed teams and influence senior stakeholders.
- Ability to multitask, prioritize effectively, and thrive in a fast-paced, dynamic environment.
- Experience with Dataiku and Snowflake strongly preferred.
- Experience designing multi-agent systems and agent lifecycle standards.
