Job Title:
Senior AI Automation EngineerCompany:
Prologis
A day in the life
The Senior AI Automation Engineer accelerates the delivery and adoption of practical AI solutions across Digital Experience Technology and adjacent operational teams. This role partners with stakeholders supporting public websites, authenticated portals, service operations, managed service providers, marketing technology, digital platforms, and vendor management to identify high-value opportunities and translate them into production capabilities. The engineer leads work from discovery and prototyping through deployment, adoption, measurement, and continuous improvement. By establishing reusable engineering patterns, governance practices, and enterprise AI assets, this role helps improve customer and employee experiences while reducing manual effort and operational constraints.
Key responsibilities include:
· Design and deliver AI-powered applications, agents, copilots, task assistants, and workflow automations that improve digital product delivery, customer self-service, support operations, knowledge retrieval, vendor management, and internal productivity.
· Integrate AI services with customer portals, custom applications, workflow and service management platforms, knowledge and analytics systems, procurement and contract lifecycle processes, and AWS services.
· Lead AI solutions from business discovery and rapid prototyping through production deployment, adoption, performance measurement, and continuous improvement.
· Translate business needs into scalable technical designs in partnership with Digital Experience, Customer Experience, Service Operations, Product, Platform Engineering, Vendor Management, and other stakeholders.
· Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow orchestration.
· Build secure, reliable, observable, and cost-effective AI applications using modern software engineering practices, APIs, Model Context Protocol, agent-to-agent services, cloud services, automation frameworks, and enterprise integration patterns.
· Measure solution value through automation rate, adoption, accuracy, customer satisfaction, productivity improvement, operational savings, and return on investment, while mentoring engineers, contractors, and implementation partners.
Building blocks for success
Required:
· 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or a related technical field.
· Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions.
· Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows to business problems.
· Programming experience with Python and Node.js for APIs, automations, AI applications, Model Context Protocol servers, agent-to-agent services, and integrations.
· Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange.
· Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms.
· Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns.
· Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, retrieval-augmented generation solutions, or agent workflows.
· Ability to independently lead technical delivery and communicate AI solutions in clear business terms to technology and operational stakeholders.
Preferred:
· Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Artificial Intelligence, a related technical field, or equivalent experience.
· Experience supporting customer-facing digital platforms, authenticated portals, customer self-service, or service operations workflows.
· Experience with enterprise platforms such as CRM, Drupal CMS, digital asset management, service management, marketing technology, knowledge management, contract management, or procurement systems.
· Experience designing reusable AI reference architectures, accelerators, prompt libraries, multi-agent workflows, tool-using agents, context engineering, agent memory, and human-in-the-loop processes.
· Experience working with distributed engineering teams, vendors, contractors, or implementation partners, including defining metrics for adoption, productivity, customer experience, operational savings, and return on investment.
· Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
Hiring Salary Range of: $124,000 - $171,000. 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 First
Each 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:
San Francisco, CaliforniaAdditional Locations:
Denver, ColoradoSkills Required
- 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or related technical field.
- Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions.
- Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows.
- Programming experience with Python and Node.js for APIs, automations, AI applications, and integrations.
- Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange.
- Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms.
- Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns.
- Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, RAG solutions, or agent workflows.
- Ability to independently lead technical delivery and communicate AI solutions in clear business terms to stakeholders.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Artificial Intelligence, or related field (or equivalent experience).
- Experience supporting customer-facing digital platforms, authenticated portals, customer self-service, or service operations workflows.
- Experience with enterprise platforms such as CRM, Drupal CMS, digital asset management, service management, marketing technology, knowledge management, contract management, or procurement systems.
- Experience designing reusable AI reference architectures, accelerators, prompt libraries, multi-agent workflows, tool-using agents, context engineering, agent memory, and human-in-the-loop processes.
- Experience working with distributed engineering teams, vendors, contractors, or implementation partners and defining adoption and ROI metrics.
- Willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency and quality.
Prologis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Prologis and has not been reviewed or approved by Prologis.
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Fair & Transparent Compensation — Pay is considered fair to competitive across many roles, with some citing industry-leading salary and strong total rewards in select positions. Feedback suggests total compensation compares well when factoring in bonuses and stock programs.
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Retirement Support — Retirement offerings include a company 401(k) match and an employee stock purchase plan that bolster long-term savings. Feedback suggests these programs are a standout element of the total rewards mix.
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Leave & Time Off Breadth — Time off is described as generous, including substantial PTO, paid holidays, and dedicated volunteer time. Feedback suggests these provisions support work-life balance alongside flexible scheduling.
Prologis Insights
What We Do
Prologis is the global leader in logistics real estate. In partnership with top manufacturing and distribution companies (e.g., Amazon, BMW, DHL, FedEx, Pepsi), we ensure timely delivery of the products that make modern life possible.
Why Work With Us
We embrace change. We ask “why” and trust that discomfort and failure are part of success. We listen, question, then commit to each other. Together as one team, we actively seek and leverage different perspectives, challenge our own best ideas and commit to a common goal. We simplify and sprint. Speed and agility drive results.
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