Senior AI Automation Engineer

Salary$124k – $171k

LocationSan Francisco, California; Denver, Colorado

Typefull-time

SenioritySenior

Experience6+ yrs

Company size10,000+ people

First seenOct 5, 2026 · 6d ago

Verified live1d ago

At a glanceSummarised by Seekless from the posting.

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

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

Background verification must be successfully completed

Skills

Python

Node.js

AWS

Dataiku

Snowflake

CI/CD

Infrastructure-as-Code

Docker

JSON

APIs

CRM

Drupal CMS

digital asset management

service management

marketing technology

knowledge management

contract management

procurement systems

Benefits

Health insurance

Dental insurance

Vision insurance

401(k)

About the company

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:

About the role

Senior AI Automation Engineer

Company:

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.

People 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.

Legal

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 time

Location:

San Francisco, California

Additional Locations:

Denver, Colorado

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