Technical Lead - AI, Digital and Customer Experience

## Technical Lead - Digital and Customer Experience 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.
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* Job Title:

** Technical Lead - Digital and Customer Experience
** Company:
** Prologis
* * A day in the life
** In this role, you'll not only visualize and architect high-performing systems, but also lead the charge in balancing cutting-edge AI-driven solutions with proven traditional applications, all while aligning technology execution with broader business strategy.
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* Key responsibilities include:

*** Lead the architecture and delivery of engaging, scalable digital experiences and software applications that directly impact customer satisfaction and loyalty.
* Drive cross-functional collaboration with developers, designers, product owners, and stakeholders to ensure seamless execution of digital features across web platforms.
* Champion the integration of third-party vendor products, AI/ML frameworks, and custom-built solutions in a high-availability environment that supports critical business functions.
* Shape and refine technical direction by evaluating AI-driven innovations, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and information retrieval systems, making informed decisions that blend creativity with practicality.
* Maintain a hands-on approach to architecture, design, and technical leadership, ensuring the right mix of velocity, quality, and long-term sustainability.
* Act as a bridge between business vision and engineering execution, translating goals into scalable, secure, and maintainable architectures.
* Promote the adoption of AI-powered development tools, MLOps / LLMOps practices, and scalable deployment architectures to improve developer productivity and accelerate innovation.
** Building blocks for success
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* Required:

*** Bachelor’s degree in Computer Science, Management Information Systems, or a related field.
* 5+ years of experience in a technical leadership role, guiding cross-functional development teams.
* Proven ability to lead complex technical projects and mentor engineering teams in fast-paced, dynamic environments.
* Deep expertise in modern application architecture, microservices, and cloud platforms (AWS, GCP, Azure).
* Practical experience with AI/ML technologies, with strong judgment on when to apply emerging solutions versus optimizing established systems.
* Exceptional communication and influence skills, with the ability to align technical strategy with business goals and engage stakeholders at all levels.
* Experience in setting, tracking, and delivering against OKRs (Objectives and Key Results) to ensure alignment with strategic business priorities and measurable outcomes.
* Hands-on experience with solution architecture, system design, and enterprise integration patterns.
* Proficiency in HTTP APIs, Secured RESTful services, and systems integration especially on AWS.
* Experience working with authentication and authorization protocols such as OAuth 2.0 and SAML.
* Familiarity with Snowflake, data modeling, and integration best practices.
* Strong technical communication skills and the ability to collaborate effectively across multi-disciplinary and global teams.
* Proven success in delivering technology solutions using Agile methodologies in distributed environments, including coordination with offshore/onshore developers, vendors, and QA teams.
** Preferred:
*** A proactive, “make-it-happen” mindset with a strong sense of ownership and accountability for results.
* Proven expertise in Python for AI/ML workflows, leveraging frameworks such as Tensor Flow, PyTorch, or Scikit-learn.
* Hands-on experience deploying and scaling LLM-powered…