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Geospatial Ai Jobs in Arizona (NOW HIRING)

Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational data into structured, queryable knowledge. * Deliver AI workflows supporting design, construction ...

... AI/ML) to automate and enhance analysis, and the utilization of cloud-based architectures for geospatial data storage and processing. * Must have 8 years of experience as a 350G executing or managing ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

Advanced Analytics Engineer

Tucson, AZ · On-site

$101K - $124K/yr

Experience applying AI/ML techniques to ISR, geospatial intelligence, signals intelligence, or mission planning workflows. * Familiarity with Agile, DevSecOps, Model-Based Systems Engineering (MBSE ...

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Geospatial Ai information

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Arizona? For Geospatial Ai jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Geospatial Ai jobs? Cities in Arizona with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Arizona as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

$147K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 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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