Full Stack AI Engineer
Phoenix, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Phoenix, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Phoenix, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Chandler, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Chandler, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Phoenix, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Phoenix, AZ · On-site
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...
Tempe, AZ · On-site
$98K - $129K/yr
Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
Tempe, AZ · On-site
$98K - $129K/yr
Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows. ? Infrastructure & DevOps: Own the lifecycle of your services ...
Quick apply
Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows. ? Infrastructure & DevOps: Own the lifecycle of your services ...
Scottsdale, AZ · On-site
$105K - $145K/yr
Unlike traditional infrastructure engineering roles, this position focuses on the services built on ... ML, storage, and developer enablement services. * Define and evolve enterprise reference ...
Scottsdale, AZ · On-site
$105K - $145K/yr
Unlike traditional infrastructure engineering roles, this position focuses on the services built on ... ML, storage, and developer enablement services. * Define and evolve enterprise reference ...
Scottsdale, AZ · On-site
$105K - $144K/yr
Unlike traditional infrastructure engineering roles, this position focuses on the services built on ... ML, storage, and developer enablement services. * Define and evolve enterprise reference ...
Scottsdale, AZ · On-site
$105K - $144K/yr
Unlike traditional infrastructure engineering roles, this position focuses on the services built on ... ML, storage, and developer enablement services. * Define and evolve enterprise reference ...
Scottsdale, AZ · On-site
$105K - $144K/yr
Unlike traditional infrastructure engineering roles, this position focuses on the services built on ... ML, storage, and developer enablement services. * Define and evolve enterprise reference ...
Scottsdale, AZ · On-site
$105K - $144K/yr
Unlike traditional infrastructure engineering roles, this position focuses on the services built on ... ML, storage, and developer enablement services. * Define and evolve enterprise reference ...
This role sits at the intersection of applied ML engineering, LLM product development, and ... Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights ...
This role sits at the intersection of applied ML engineering, LLM product development, and ... Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights ...
Tempe, AZ · On-site
This role sits at the intersection of applied ML engineering, LLM product development, and ... Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights ...
Tempe, AZ · On-site
This role sits at the intersection of applied ML engineering, LLM product development, and ... Build and maintain MLOps infrastructure for model training, experiment tracking (MLflow, Weights ...
Phoenix, AZ · On-site
$180 - $230/hr
Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and ... cloud infrastructure. * Evaluate and select appropriate AI frameworks, LLM providers (OpenAI ...
Phoenix, AZ · On-site
$180 - $230/hr
Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and ... cloud infrastructure. * Evaluate and select appropriate AI frameworks, LLM providers (OpenAI ...
Tucson, AZ · On-site
The Software and AI/ML Developer will design and architect AI systems, build mission-critical infrastructure, and mentor junior developers while collaborating with a cross-functional team.
Tucson, AZ · On-site
The Software and AI/ML Developer will design and architect AI systems, build mission-critical infrastructure, and mentor junior developers while collaborating with a cross-functional team.
Phoenix, AZ · On-site
Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications * Develop infrastructure and automations for experiment tracking, continuous training ...
Phoenix, AZ · On-site
Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications * Develop infrastructure and automations for experiment tracking, continuous training ...
Phoenix, AZ · On-site
Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications * Develop infrastructure and automations for experiment tracking, continuous training ...
Phoenix, AZ · On-site
Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications * Develop infrastructure and automations for experiment tracking, continuous training ...
Phoenix, AZ · On-site
$50 - $60/hr
Experience leveraging AI/ML and Generative AI to improve observability, automate operations, and ... Support Linux infrastructure and Kubernetes environments, including Docker, OpenShift, or Rancher.
Phoenix, AZ · On-site
$50 - $60/hr
Experience leveraging AI/ML and Generative AI to improve observability, automate operations, and ... Support Linux infrastructure and Kubernetes environments, including Docker, OpenShift, or Rancher.
Scottsdale, AZ · On-site
$120 - $150/hr
The engineer serves as a mentor and technical leader, influencing platform strategy and enabling ... ML workloads. * Drive end‑to‑end automation using Infrastructure as Code practices. * Lead ...
Scottsdale, AZ · On-site
$120 - $150/hr
The engineer serves as a mentor and technical leader, influencing platform strategy and enabling ... ML workloads. * Drive end‑to‑end automation using Infrastructure as Code practices. * Lead ...
This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep ... Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline ...
This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep ... Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline ...
This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep ... Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline ...
This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep ... Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline ...
Tempe, AZ · On-site
$114K - $165K/yr
Fox is hiring a Senior Engineer, AI Site Reliability to help build and operate infrastructure and ... Advance existing deployment, monitoring, and alerting infrastructure using the latest in AI & ML to ...
Tempe, AZ · On-site
$114K - $165K/yr
Fox is hiring a Senior Engineer, AI Site Reliability to help build and operate infrastructure and ... Advance existing deployment, monitoring, and alerting infrastructure using the latest in AI & ML to ...
$43.3K - $54.8K
1% of jobs
$54.8K - $66.3K
1% of jobs
$66.3K - $77.8K
4% of jobs
$77.8K - $89.2K
9% of jobs
$89.2K - $100.7K
10% of jobs
$101.4K is the 25th percentile. Wages below this are outliers.
$100.7K - $112.2K
10% of jobs
The median wage is $116.9K / yr.
$112.2K - $123.7K
39% of jobs
$126.1K is the 75th percentile. Wages above this are outliers.
$123.7K - $135.2K
7% of jobs
$135.2K - $146.6K
10% of jobs
$146.6K - $158.1K
9% of jobs
$158.1K - $169.6K
1% of jobs
$43.3K
$118.4K
$169.6K
| Aspect | ML Infrastructure Engineer | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, experience with cloud platforms, scripting, and ML tools | Bachelor's/Master's in CS, experience with databases, ETL, and data pipelines |
| Work Environment | Focus on deploying and maintaining ML systems, cloud infrastructure, and automation | Designing and building data pipelines, managing large datasets, and data storage |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and data-driven industries |
The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.
For Ml Infrastructure Engineer jobs in Arizona, the most frequently searched job titles are:
The top searched job categories for Ml Infrastructure Engineer jobs in Arizona are:
Cities in Arizona with the most Ml Infrastructure Engineer job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 12 days ago
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/Division
The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.Job Description/Preferred Qualifications
About the Role
We are seeking an AI Engineer to serve as a technical lead within a growing, operations-aligned engineering team. This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems.
You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team is actively shipping; this role focuses on strengthening technical execution, improving system reliability, and elevating overall engineering practices.
While there will be opportunities to take on broader leadership responsibilities over time, the primary focus of this role is technical leadership, delivery, and mentorship.
Key Responsibilities:
Lead the design, development, and deployment of production AI systems end-to-end
Contribute hands-on to the codebase and set a high bar for engineering quality
Establish scalable patterns for evaluation, deployment, and system reliability
Conduct technical design reviews and guide architectural decisions
Mentor and develop engineers, providing regular coaching and technical guidance
Support hiring efforts, including candidate evaluation and onboarding
Partner with cross-functional stakeholders to align priorities and deliver impactful solutions
Help translate experimentation into stable, production-ready systems
Preferred Qualifications:
Technical Expertise
5-8 years of experience building production software systems
At least 2 years working with AI/ML or LLM-based solutions in production environments
Demonstrated ownership of delivering end-to-end AI systems or features
Strong understanding of modern AI development practices (e.g., evaluation, prompt iteration, system integration)
Comfortable working across the stack, including data pipelines, model serving, and application layers
Sound judgment in making technical trade-offs, including build vs. buy decisions
AI / Applied Systems Experience
Hands-on experience with LLMs, agent-based systems, or generative AI applications
Familiarity with evaluation frameworks, prompt iteration, and model behavior tuning
Understanding of limitations and failure modes of AI systems, and how to design around them
Experience operationalizing AI workflows (e.g., pipelines, monitoring, feedback loops) in real-world environments
Leadership & Mentorship
Experience serving as a technical lead or senior engineer on a team
Proven ability to mentor and uplift other engineers
Strong communication skills, including technical documentation and stakeholder engagement
Ability to influence decisions and drive alignment without formal authority
Interest in growing leadership scope over time (optional, not required)
Role Scope
Primarily a hands-on technical leadership role
Emphasis on delivery, system quality, and team enablement
Opportunities to expand into people leadership over time, based on interest and business needs
Not a research-focused role - emphasis is on applied, production systems
Additional Information
Periodic travel may be required
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field
Advanced degree (MS or PhD) preferred, particularly with a focus on AI, Machine Learning, or distributed systems
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years;OR equivalent work experience
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.