Prologis
Overview
At Prologis, we don’t just lead the industry—we define it with a large global portfolio and operations that connect digital and physical worlds. We build intelligent infrastructure to power global commerce, with a focus on scalable, sustainable solutions. Job Title:
Lead, AI / ML Platform Engineer Company:
Prologis 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. Design internal self-service agent toolkits with permission controls. Enable and mentor development teams in AI / ML techniques. Coordinate and integrate AI / ML developments with offshore teams. Communicate complex technical details to non-technical stakeholders clearly. Required
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s a plus. 8+ years building and operating production ML / AI platforms, including 3+ years in a technical‑lead capacity. 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. 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. Preferred
Experience with Dataiku and Snowflake strongly preferred. Experience designing multi-agent systems and agent lifecycle standards. Exposure to agent evaluation systems and ROI tracking. Salary & Benefits
Hiring Salary Range of: $119,000 – 180,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and market data. Location : Denver, Colorado Employment Type : Full time Locations
Additional locations: Atlanta, Georgia; Cerritos, California; Chicago, Illinois; Dallas, Texas; Los Angeles, California; New York, New York; San Francisco, California; Springfield Gardens, New York. Equal Opportunity
and other notices: Prologis is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. All full-time roles in the US come with a robust benefits package, including healthcare, dental, and vision insurance for employees and eligible dependents, plus wellness, financial, and work/lifestyle benefits. Our 401(k) plan includes company matching. We offer generous PTO and paid holidays and volunteer time. All job offers are contingent upon successful background verification.
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At Prologis, we don’t just lead the industry—we define it with a large global portfolio and operations that connect digital and physical worlds. We build intelligent infrastructure to power global commerce, with a focus on scalable, sustainable solutions. Job Title:
Lead, AI / ML Platform Engineer Company:
Prologis 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. Design internal self-service agent toolkits with permission controls. Enable and mentor development teams in AI / ML techniques. Coordinate and integrate AI / ML developments with offshore teams. Communicate complex technical details to non-technical stakeholders clearly. Required
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s a plus. 8+ years building and operating production ML / AI platforms, including 3+ years in a technical‑lead capacity. 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. 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. Preferred
Experience with Dataiku and Snowflake strongly preferred. Experience designing multi-agent systems and agent lifecycle standards. Exposure to agent evaluation systems and ROI tracking. Salary & Benefits
Hiring Salary Range of: $119,000 – 180,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and market data. Location : Denver, Colorado Employment Type : Full time Locations
Additional locations: Atlanta, Georgia; Cerritos, California; Chicago, Illinois; Dallas, Texas; Los Angeles, California; New York, New York; San Francisco, California; Springfield Gardens, New York. Equal Opportunity
and other notices: Prologis is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. All full-time roles in the US come with a robust benefits package, including healthcare, dental, and vision insurance for employees and eligible dependents, plus wellness, financial, and work/lifestyle benefits. Our 401(k) plan includes company matching. We offer generous PTO and paid holidays and volunteer time. All job offers are contingent upon successful background verification.
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