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Senior AI Automation Engineer

Prologis
Posted a month ago, valid for 12 days
Location

San Francisco, CA, US

Salary

$124,000 - $171,000 per year

Contract type

Full Time

Retirement Plan
Paid Time Off

By applying, a Prologis account will be created for you. Prologis's Privacy Policy and Terms & Conditions will apply.

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Sonic Summary

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  • Prologis is seeking a Senior AI Automation Engineer with over 6 years of professional experience in software engineering or related fields.
  • The role involves designing AI-powered applications and integrating AI services with various digital platforms to improve operational efficiency.
  • Candidates should have programming experience in Python and Node.js, as well as knowledge of AI technologies like generative AI and large language models.
  • The hiring salary range for this position is between $124,000 and $171,000, depending on the candidate's qualifications and location.
  • Prologis offers a comprehensive benefits package, including generous PTO, healthcare, and a 401(k) retirement plan with company matching.
At Prologis, we don鈥檛 just lead the industry鈥攚e 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鈥攏ot just shaping the future of logistics but building what comes next.

Job Title:

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:

聽聽聽聽聽聽 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.

聽聽聽聽聽聽 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.

聽聽聽聽聽聽 Lead AI solutions from business discovery and rapid prototyping through production deployment, adoption, performance measurement, and continuous improvement.

聽聽聽聽聽聽 Translate business needs into scalable technical designs in partnership with Digital Experience, Customer Experience, Service Operations, Product, Platform Engineering, Vendor Management, and other stakeholders.

聽聽聽聽聽聽 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.

聽聽聽聽聽聽 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.

聽聽聽聽聽聽 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:

聽聽聽聽聽聽 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or a related technical field.

聽聽聽聽聽聽 Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions.

聽聽聽聽聽聽 Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows to business problems.

聽聽聽聽聽聽 Programming experience with Python and Node.js for APIs, automations, AI applications, Model Context Protocol servers, agent-to-agent services, and integrations.

聽聽聽聽聽聽 Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange.

聽聽聽聽聽聽 Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms.

聽聽聽聽聽聽 Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns.

聽聽聽聽聽聽 Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, retrieval-augmented generation solutions, or agent workflows.

聽聽聽聽聽聽 Ability to independently lead technical delivery and communicate AI solutions in clear business terms to technology and operational stakeholders.

Preferred:

聽聽聽聽聽聽 Bachelor鈥檚 degree in Computer Science, Engineering, Information Systems, Data Science, Artificial Intelligence, a related technical field, or equivalent experience.

聽聽聽聽聽聽 Experience supporting customer-facing digital platforms, authenticated portals, customer self-service, or service operations workflows.

聽聽聽聽聽聽 Experience with enterprise platforms such as CRM, Drupal CMS, digital asset management, service management, marketing technology, knowledge management, contract management, or procurement systems.

聽聽聽聽聽聽 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.

聽聽聽聽聽聽 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.

聽聽聽聽聽聽 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:聽$124,000 - $171,000. Salary and whole compensation package (bonus target) to be determined by the candidate鈥檚 location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

#LI-TA1

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.聽

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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By applying, a Prologis account will be created for you. Prologis's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.