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Full Stack Ai Engineer Jobs in Arizona (NOW HIRING)

AI Full Stack Developer

Phoenix, AZ · On-site

$140K - $155K/yr

... a Senior AI Full Stack Developer to join its Platform Engineering team. This fully remote ... The ideal candidate is a senior-level engineer who thrives in fast-paced environments, embraces ...

... AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google ... As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and ...

The AI Full Stack Developer operates across the full application stack, bridging model development and application production deployment, with an emphasis on scalability, integration, and usability.

Full stack Developer (AI & Python) Tempe, AZ - Onsite Responsibilities We are seeking a Developer (Platform + Backend) to design, develop, and maintain scalable backend services and enterprise ...

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Full Stack Engineer Job Location: Phoenix - Arizona - USA Job Type: Contract * Develop and design scalable secure and robust software solutions * Develop backend services with Nodejs TypeScript ...

Showing results 41-60

Full Stack Ai Engineer information

See Arizona salary details

$41.5K

$125.6K

$177.5K

How much do full stack ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full stack ai engineer in Arizona is $125,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Arizona? For Full Stack Ai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Arizona look for? The top searched job categories for Full Stack Ai Engineer jobs in Arizona are:
What cities in Arizona are hiring for Full Stack Ai Engineer jobs? Cities in Arizona with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $125,591 per year, or $60.4 per hour.

Full Stack Engineer with AI

Infosys Limited Digital

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

Job details
Job Role
Technology Consultant 2
Career Role
Technology Lead - US
Work Location
Phoenix, AZ, Plano, TX, Raleigh, NC, Reston, VA, Richardson, TX
State / Region / Province
Arizona, North Carolina, Texas, Virginia
Country
USA
Domain
Delivery
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
148058BR
Technical Skills 1
Technology|Java|Java - ALL
Technical Skills 2
Technology|Cloud Platform|AWS App Development
Technical Skills 3
Technology|UI and Markup Language|Angular X (2, 4, 5, 6, 7,8,9,11,12,14,18,20)
Technical Skills 4
Technology|Artificial Intelligence|Artificial Intelligence - ALL
Technical Skills 5
Technology|DevOps|Continuous integration - Others
Overview
The Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive continuous improvement, enhance delivery processes, and accelerate time to market. Join us to be part of a team that is at the forefront of engineering innovation, delivering intelligent insights and empowering stakeholders to achieve hyper-productivity and sustainable growth.
In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Your contribution to the team:
• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands-on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.
Required Skill and Experience
• Experience in Full-stack software engineering with proficiency in Java/Python, and Angular.
• Experience building and scaling applications on AWS.
• Experience in Java Full Stack development
• Experience and good knowledge of technologies like Spring, Spring boot and Angular
Preferred Skill and Experience
• Experience using AI/GenAI tools (e.g., GitHub/Copilot/ ChatGPT) in day-to-day development.
• Good understanding and experience working with LLMs and agent-based architectures.
• Experience with AI-driven code generation, automated testing, and code review processes.
• Experience designing AI-powered applications or integrating LLM APIs is preferred.
• Experience with CI/CD pipelines, DevOps practices, and test automation frameworks.
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.