At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.Job Title:Lead, AI/ML Platform EngineerCompany:PrologisA day in the life Are you passionate about building the foundational infrastructure that powers intelligent agents and scalable AI solutions? At Prologis, we’re looking for a hands-on Lead AI/ML Platform Engineer to architect and evolve the GenAI platform that drives business value across our global operations. You’ll lead the execution of strategy and technical direction of our AI platform, mentoring engineers, shaping standards, and driving adoption across decentralized teams helping to scale reusable frameworks and support production-grade AI deployments.Key responsibilities include:<ul><li>Design and own AI/ML infrastructure for scalable, secure, cloud-native platforms (Dataiku, AWS, OpenAI, Pinecone).</li><li>Lead GenAI platform development including prompt workflows, agent context, memory, and retrieval architectures.</li><li>Design and own custom Model Context Protocol (MCP) server architecture.</li><li>Build scalable EKS-based backends to support MCP services and real-time AI API endpoints.</li><li>Define and enforce CI/CD, MLOps, and IaC standards across all AI projects.</li><li>Architect Agent evaluation tooling, cost tracking, and feedback loops.</li><li>Establish agent scalability &amp; governance: develop template‑driven scaling patterns and define platform standards and lifecycle governance for reusable agents.</li><li>Design internal self-service agent toolkits with permission controls.</li><li>Enable and mentor development teams in AI/ML techniques.</li><li>Work effectively with offshore teams to coordinate and integrate AI/ML developments.</li><li>Communicate effectively, translating complex technical details into understandable concepts for non-technical stakeholders.</li></ul>Building blocks for successRequired:<ul><li>Bachelor’s degree in Computer Science, Engineering, or related field; Master’s a plus.</li><li>8+ years building and operating production ML/AI platforms, including 3+ years in a technical‑lead capacity.</li><li>Deep expertise with AWS (EC2, S3, Lambda, EKS) and infrastructure‑as‑code with Terraform or CloudFormation.</li><li>Hands‑on Kubernetes experience and strong grasp of containerized microservice architectures.</li><li>Advanced software engineering skills in Python with experience building high‑throughput APIs and real‑time serving systems.</li><li>Strong SQL skills</li><li>Proven track record implementing CI/CD, MLOps frameworks, and observability tooling.</li><li>Practical experience with LLM tooling and vector databases (OpenAI, LangChain, Pinecone) and designing agent context, memory, and retrieval.</li><li>Demonstrated ability to design secure, compliant systems and manage cost efficiency.</li><li>Skilled communicator and mentor, able to lead distributed teams and influence senior stakeholders.</li><li>Ability to multitask, prioritize effectively, and thrive in a fast-paced, dynamic environment.</li></ul>Preferred:<ul><li>Experience with Dataiku and Snowflake strongly preferred.</li><li>Experience designing multi-agent systems and agent lifecycle standards.</li><li>Exposure to agent evaluation systems and ROI tracking.</li></ul>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 alignment with market data. #LI-TA1People FirstEach of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time. All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.Employment Type:Full timeLocation:Denver, ColoradoAdditional Locations:Atlanta, Georgia, Cerritos, California, Chicago, Illinois, Dallas, Texas, Los Angeles, California, New York, New York, San Francisco, California, Springfield Gardens, New York

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<div id="ember57" class="ember-view organization-about-module__content-consistant-cards-description">Prologis, Inc. is the global leader in logistics real estate. In partnership with our customers and our communities, we develop modern, high-quality properties that set the standard for innovative building design and sustainability. Prologis owns or has investments in properties and development projects of ~1.2 billion square feet in 19 countries and enables 2.8% of the world&rsquo;s GDP. Beyond real estate, our Essentials platform optimizes the company&rsquo;s global asset portfolio to provide our customers solutions that address today&rsquo;s warehouse and shipping challenges. Prologis Ventures invests in logistics innovation and technology companies to modernize supply chains worldwide.</div>
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Lead, AI/ML Platform Engineer

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.Job Title:Lead, AI/ML Platform EngineerCompany:PrologisA day in the life Are you passionate about building the foundational infrastructure that powers intelligent agents and scalable AI solutions? At Prologis, we’re looking for a hands-on Lead AI/ML Platform Engineer to architect and evolve the GenAI platform that drives business value across our global operations. You’ll lead the execution of strategy and technical direction of our AI platform, mentoring engineers, shaping standards, and driving adoption across decentralized teams helping&nbsp;to scale reusable frameworks and support production-grade AI deployments.Key responsibilities include:<ul><li>Design and own AI/ML infrastructure for scalable, secure, cloud-native platforms (Dataiku, AWS, OpenAI, Pinecone).</li><li>Lead GenAI platform development including prompt workflows, agent context, memory, and retrieval architectures.</li><li>Design and own custom Model Context Protocol (MCP) server architecture.</li><li>Build scalable EKS-based backends to support MCP services and real-time AI API endpoints.</li><li>Define and enforce CI/CD, MLOps, and IaC standards across all AI projects.</li><li>Architect Agent evaluation tooling, cost tracking, and feedback loops.</li><li>Establish agent scalability &amp; governance: develop template‑driven scaling patterns and define platform standards and lifecycle governance for reusable agents.</li><li>Design internal self-service agent toolkits with permission controls.</li><li>Enable and mentor development teams in AI/ML techniques.</li><li>Work effectively with offshore teams to coordinate and integrate AI/ML developments.</li><li>Communicate effectively, translating complex technical details into understandable concepts for non-technical stakeholders.</li></ul>Building blocks for successRequired:<ul><li>Bachelor’s degree in Computer Science, Engineering, or related field; Master’s a plus.</li><li>8+ years building and operating production ML/AI platforms, including 3+ years in a technical‑lead capacity.</li><li>Deep expertise with AWS (EC2, S3, Lambda, EKS) and infrastructure‑as‑code with Terraform or CloudFormation.</li><li>Hands‑on Kubernetes experience and strong grasp of containerized microservice architectures.</li><li>Advanced software engineering skills in Python with experience building high‑throughput APIs and real‑time serving systems.</li><li>Strong SQL skills</li><li>Proven track record implementing CI/CD, MLOps frameworks, and observability tooling.</li><li>Practical experience with LLM tooling and vector databases (OpenAI, LangChain, Pinecone) and designing agent context, memory, and retrieval.</li><li>Demonstrated ability to design secure, compliant systems and manage cost efficiency.</li><li>Skilled communicator and mentor, able to lead distributed teams and influence senior stakeholders.</li><li>Ability to multitask, prioritize effectively, and thrive in a fast-paced, dynamic environment.</li></ul>Preferred:<ul><li>Experience with Dataiku and Snowflake strongly preferred.</li><li>Experience designing multi-agent systems and agent lifecycle standards.</li><li>Exposure to agent evaluation systems and ROI tracking.</li></ul>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 alignment with market data.&nbsp;#LI-TA1People FirstEach of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.&nbsp;All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.Employment Type:Full timeLocation:Denver, ColoradoAdditional Locations:Atlanta, Georgia, Cerritos, California, Chicago, Illinois, Dallas, Texas, Los Angeles, California, New York, New York, San Francisco, California, Springfield Gardens, New York

Lead, AI/ML Platform Engineer

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Prologis Management

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