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Applied Ai Engineer Jobs in Arizona (NOW HIRING)

Building blocks for success Required: * 6+ years of experience in software engineering, platform engineering, data engineering, applied AI, automation, technology consulting, or a related technical ...

This role sits at the intersection of applied ML engineering, LLM product development, and production-grade system design. The AI Engineer is responsible for building, training, evaluating, and ...

This role sits at the intersection of applied ML engineering, LLM product development, and production-grade system design. The AI Engineer is responsible for building, training, evaluating, and ...

AI Engineer

Globe, AZ

$92K - $126K/yr

Solid Engineering Foundation: Develop, scale, and maintain core software platforms, emphasizing ... Applied AI Focus: Build and deploy robust integrations with Small and Large Language Models ...

AI MANAGER

Vail, AZ · On-site

Plans, directs, and evaluates the day-to-day work of a team of five AI professionals, including AI/ML engineers, developers, and applied researchers. * Establishes clear performance expectations ...

AI Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). * Solid engineering fundamentals in at least ...

AI Engineer III

Phoenix, AZ

$57 - $76.75/hr

Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). * Solid engineering fundamentals in at least ...

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

AI Engineer III - Agentic AI

Phoenix, AZ · On-site

$103K - $174K/yr

Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). * Solid engineering fundamentals in at least ...

Senior AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Qualifications What We're Looking For: * 5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems. * A track record of shipping AI ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

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Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Arizona?

For Applied Ai Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Arizona look for?

The top searched job categories for Applied Ai Engineer jobs in Arizona are:

What cities in Arizona are hiring for Applied Ai Engineer jobs?

Cities in Arizona with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Arizona as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

$147K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

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 Engineer

Company:

Prologis

Title: Lead AI Engineer

Location: Denver, CO; San Francisco, CA; Phoenix, AZ; Chicago, IL; or Dallas, TX. Other Prologis office locations may be considered.

A day in the life

The Lead AI Engineer builds production AI platform capabilities that transform Prologis building, project, asset, and operational data into reusable solutions for construction, procurement, and operations teams. As a lead individual contributor, this role provides technical leadership through architecture, hands-on implementation, pattern-setting, and ownership of production outcomes rather than people management. The engineer partners with business, technology, security, and operations stakeholders to connect enterprise data, building models, documents, telemetry, digital twins, and workflow systems into governed AI capabilities. The work supports Prologis's global logistics real estate portfolio of approximately 1.3 billion square feet across 20 countries.

Key responsibilities include:

  • Design and implement production AI platform capabilities, including agents, retrieval-augmented generation, tool calling, workflow orchestration, evaluation, and human review.
  • Build an AI-native building knowledge platform that links building models, assets, documents, telemetry, and operational context.
  • Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational data into structured, queryable knowledge.
  • Deliver AI workflows supporting design, construction, commissioning, building operations, sustainment, and reinvestment use cases.
  • Move priority solutions from prototype through pilot and production with appropriate governance, documentation, evaluation, observability, and operational readiness.
  • Establish reusable engineering patterns that enable successful pilots to scale into enterprise platform capabilities.
  • Partner with business, technology, security, and operations teams to define workflows, technical scope, implementation plans, rollout approaches, and post-launch improvements.

Building blocks for success

Required:

  • 6+ years of experience in software engineering, platform engineering, data engineering, applied AI, automation, technology consulting, or a related technical delivery role.
  • Experience designing, building, deploying, or maintaining AI-assisted workflows, large language model applications, or agentic systems for business use cases.
  • Experience translating ambiguous workflows, spreadsheets, document repositories, project records, and stakeholder feedback into structured, testable, and governed solutions.
  • Experience leading discovery, workflow mapping, technical scoping, implementation, rollout, and post-launch iteration with users or domain teams.
  • Ability to apply context engineering, retrieval-augmented generation, semantic layers, tool or function calling, structured outputs, orchestration, evaluation, and human-in-the-loop design.
  • Programming or scripting capability in Python, TypeScript, JavaScript, or a comparable language.
  • Experience integrating APIs, SaaS platforms, data sources, workflow tools, and enterprise systems.
  • Ability to communicate technical decisions, risks, and outcomes clearly to technical and non-technical stakeholders.

Preferred:

  • Experience with agent frameworks or orchestration patterns such as OpenAI Agents SDK, LangChain, LangGraph, LlamaIndex, MCP, AutoGen, CrewAI, n8n, or comparable platforms.
  • Experience with Autodesk construction and building platforms, BIM, geospatial systems, reality capture, simulation platforms, or digital twins.
  • Experience with AWS IoT, AWS Lambda, event-driven or serverless architectures, streaming telemetry, rules engines, or cloud-native operational data platforms.
  • Experience with building lifecycle systems, operational technology, building management systems, asset management, estimating, bid management, project controls, or field support.
  • Experience with data platform patterns such as knowledge graphs, entity resolution, ontologies, vector databases, Snowflake, data lakes, semantic layers, or BI and reporting.
  • 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:

$147,000.- $202,000. 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-KR1

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.

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:

Denver, Colorado

Additional Locations:

Chicago, Illinois, Dallas, Texas, Phoenix, Arizona, San Francisco, California

Prologis logo

About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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