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Ai Data Developer Jobs in Arizona (NOW HIRING)

ServiceNow

Solution Architect - AI & Data

Phoenix, AZ · On-site +1

$62.50 - $82.50/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Solution Architect - AI & Data, Expert Services As part of the Expert Services AI Practice, the ...

ServiceNow

Solution Architect - AI & Data

Phoenix, AZ

$62.50 - $82.50/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Solution Architect - AI & Data, Expert Services As part of the Expert Services AI Practice, the ...

Radix Software, Inc

Data Engineer

Scottsdale, AZ · On-site

$150 - $200/hr

Beyond traditional data engineering, this role will help shape the semantic layer that powers Radix's AI products. That means designing data systems with LLM consumption in mind: clean metric ...

Radix

Data Engineer

Scottsdale, AZ

$115K - $138K/yr

Beyond traditional data engineering, this role will help shape the semantic layer that powers Radix's AI products. That means designing data systems with LLM consumption in mind: clean metric ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$200 - $250/hr

This role bridges data platforms, AI/ML systems, and application development, ensuring solutions ... and DevOps/CI-CD practices. * Strong stakeholder communication skills -- ability to translate ...

onsemi

AI Solutions Engineer

Scottsdale, AZ

We are seeking for Staff AI Solutions Engineer to help deliver scalable AI/ML solutions across ... You will report to the Sr. AI & Data Science Manager and collaborate to execute, mentor and ...

onsemi

AI Solutions Engineer

Scottsdale, AZ · On-site

We are seeking for Staff AI Solutions Engineer to help deliver scalable AI/ML solutions across ... You will report to the Sr. AI & Data Science Manager and collaborate to execute, mentor and ...

Deloitte

Forward Deployed Engineer- AWS

Tempe, AZ · On-site

... AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable ...

Deloitte

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ...

Globe Telecom, Inc.

AI Engineer

Globe, AZ · On-site

$92K - $126K/yr

Cloud & DevOps: AWS, GCP, GitOps, CI/CD, Terraform. Certifications (Nice-to-Have) * Data Science & ML Engineering * Generative AI Fundamentals & for Developers * Data Analytics / Data Engineering

Deloitte

Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... Collaborate with the data engineering team to design and maintain feature stores, data pipelines ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... Collaborate with the data engineering team to design and maintain feature stores, data pipelines ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our AI models is high-quality, well-organized, and fit for use in model training and deployment. You ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our AI models is high-quality, well-organized, and fit for use in model training and deployment. You ...

Freeport McMoRan

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

What You Will Do As the Data and AI Engineer II, you will serve as a project leader and independent ... Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python ...

Freeport McMoRan

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python ... Data * Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tempe, AZ · On-site

$100K - $137K/yr

... AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ · On-site

$98K - $129K/yr

... AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable ...

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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For Ai Data Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Data Developer jobs in Arizona look for?

The top searched job categories for Ai Data Developer jobs in Arizona are:

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Ai Data Developer jobs near you

Solution Architect - AI & Data

ServiceNow

Phoenix, AZ • On-site, Remote

$62.50 - $82.50/hr

Full-time

Re-posted 22 days ago

Key responsibilities

  • Lead enterprise AI transformation engagements from opportunity identification to value realization.

  • Design end-to-end solution architectures involving AI components and enterprise integrations.

  • Lead the architectural design and strategic application of data catalog programs and AI governance frameworks.

ServiceNow rating

8.3

Company rating: 8.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

99th of 247 rated software companies

Job description

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
The Team
The Customer Excellence Group at ServiceNow works with customers to help them achieve their business outcomes by providing prescriptive guidance. As part of the Customer Excellence Group, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment.
Solution Architect - AI & Data, Expert Services
As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how enterprise organizations adopt AI at the core of their operating models. This role goes beyond implementation - it bridges C-suite advisory, enterprise architecture, and organizational change to deliver lasting transformation outcomes.
The Solution Architect - AI & Data will operate at the intersection of AI strategy, solution architecture, and customer success - leading engagements from transformation vision and use-case definition through architecture design, governance, adoption, and ongoing value realization.
What you will do in this role:
AI Strategy & Transformation Advisory
  • Lead enterprise AI transformation engagements - from opportunity identification and business case development through to operating model design and value realization.
  • Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite.
  • Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda.
  • Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures.

Solution Architecture & Delivery Leadership
  • Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and enterprise integrations (A2A, MCP).
  • Lead scoping and solutioning for complex, multi-workload AI engagements - ensuring architectural integrity, scalability, and alignment to customer outcomes.
  • Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution.
  • Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs.
  • Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business objectives.
  • Define integration patterns and architectural standards for connecting data catalog solutions across heterogeneous enterprise environments - cloud platforms, data warehouses, BI layers, and ServiceNow workflows.

Data Architecture & Catalog Strategy
  • Lead the architectural design of enterprise data catalog programs - defining scope, platform selection criteria, governance operating models, and phased adoption roadmaps.
  • Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases.
  • Shape data architecture principles and standards that underpin AI readiness - including data lineage, metadata quality, classification taxonomies, and access governance.
  • Translate complex data architecture requirements into clear, actionable designs that can be executed by delivery and technical teams.
  • Define success metrics and maturity benchmarks for data catalog programs, enabling customers to track progress and demonstrate value to executive stakeholders.

AI Governance, Risk & Responsible AI
  • Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures.
  • Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies.
  • Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs.
  • Guide customers in regulated industries on aligning data catalog and governance architectures to compliance and regulatory obligations, embedding controls into the design rather than as an afterthought.
  • Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment.

Adoption, Enablement & Change Management
  • Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications.
  • Define adoption KPIs and value realization metrics; track and report outcomes; provide consultative guidance for continuous optimization and expansion.
  • Coach customer teams to build internal AI capability, reducing dependency and accelerating long-term self-sufficiency.
  • Monitor adoption, usage, and value realization metrics post-deployment; provide recommendations for risk mitigation and growth.

Practice Development & Thought Leadership
  • Collaborate cross-functionally with Sales, Solution Consulting, Customer Success, Platform, and Product teams to embed AI advisory across the customer lifecycle.
  • Build and maintain industry-specific AI advisory playbooks and frameworks - verticalized use-case catalogs, value models, governance templates, and deployment patterns - to support scalable, repeatable delivery.
  • Act as a thought-leader internally and externally: contribute to white papers, points-of-view, reference architectures, best-practice guides, and represent the organization at AI forums and customer briefings.
  • Support pre-sales by qualifying opportunities, shaping proposals, and presenting transformation vision to executive buyers.

Qualifications
To be successful in this role, you will have
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale.
  • Experience facilitating executive AI strategy engagements - including visioning workshops, maturity assessments, and transformation roadmap sessions - where the output is a customer-owned AI narrative, not just a delivery plan.
  • Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements - including use-case definition, business case development, integration, data strategy, governance, and operational adoption.
  • Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks.
  • Demonstrated ability to architect enterprise data catalog and metadata management strategies, with knowledge of platforms.
  • Excellent communication and interpersonal skills - ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making.
  • Experience working in fast-paced, dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels, from early adopters to AI-ready enterprises.
  • AI domain knowledge required, including: Generative AI Skills, AI Agents and Agentic workflows, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP).
  • Working knowledge of knowledge graph principles, semantic technologies, and standards (RDF, SPARQL) as applied to enterprise data architecture.
  • Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience. ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable.
  • AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable.
  • Background in one or more target industries - Financial Services, Healthcare, Public Sector, Manufacturing, or Retail - is highly desirable.

Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

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About ServiceNow

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At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004

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