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Ai Frontend Developer Jobs in Arizona (NOW HIRING)

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with ...

NET Core and Angular 2+, thrives in an Agile/Scrum environment, and has experience incorporating AI ... NET Core * 3+ years of front-end development experience using Angular 2+ * 2+ years of experience ...

Senior Software Engineer I (Frontend)

Tempe, AZ · On-site

$119K - $157K/yr

... frontend patterns * Collaborate with designers, backend developers, and stakeholders * Develop and ... Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar tools

Senior Software Engineer I (Frontend)

Tempe, AZ · On-site

$119K - $157K/yr

... frontend patterns * Collaborate with designers, backend developers, and stakeholders * Develop and ... Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar tools

Python Developer IV

Phoenix, AZ · Remote

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Collaborate with cross-functional teams including frontend developers, product managers, and QA ...

Python Developer IV

Tempe, AZ · Remote

$111K - $174K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Collaborate with cross-functional teams including frontend developers, product managers, and QA ...

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Ai Frontend Developer information

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may be found in large tech companies or innovative startups offering competitive compensation packages. Such salaries reflect the high demand for AI talent and the complexity of the work involved.

Will AI take front-end developer jobs?

AI front-end development tools can automate repetitive tasks and assist in coding, but they are unlikely to fully replace front-end developers who design user interfaces, ensure usability, and handle complex problem-solving. Developers will need to adapt by learning new skills such as working with AI tools and understanding user experience design. Human oversight remains essential for creating effective and accessible web applications.

How much do AI coders get paid?

AI frontend developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Salaries tend to be higher in tech hubs and for those with expertise in machine learning frameworks and programming languages like Python and JavaScript.

Which 3 jobs will survive AI?

For an AI Frontend Developer, roles that require complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include positions like UX/UI Designer, AI Specialist, and Software Architect, which involve designing user experiences, developing AI models, and overseeing system integration. Continuous learning and expertise in tools like JavaScript, React, and machine learning frameworks help maintain job relevance.
What cities in Arizona are hiring for Ai Frontend Developer jobs? Cities in Arizona with the most Ai Frontend Developer job openings:
Forward Deployed Engineer (FDE) - Customer Facing Software & AI

Forward Deployed Engineer (FDE) - Customer Facing Software & AI

Koantek

Chandler, AZ

Contractor

Re-posted 9 days ago


Job description

Job Title: Forward Deployed Engineer (FDE) - Customer Facing Software & AI About the Role Are you a hands-on Software Engineer who loves solving complex problems and delivering measurable impacts for clients. As a Forward Deployed Engineer (FDE), you'll work directly with strategic customers to design, build, and deploy innovative software and AI solutions. You will act as the technical face of our company, bridging the gap between deep technical engineering and customer-centric business value.

What You'll Do Solution Architecture: Lead architecture and design decisions for end-to-end solutions spanning backend, frontend, data pipelines, and AI/ML models. Production Engineering: Develop production-grade applications that transform data into actionable insights for enterprise users. Client Engagement: Collaborate closely with client teams-from Engineers to Executives-to deeply understand their unique business challenges.

Framework & Collaboration: Partner with internal teams to ensure seamless solution delivery while contributing to reusable frameworks and best engineering practices. What We're Looking For Full-Stack Engineering: Strong software engineering skills across backend, frontend, and system integration. Technical Stack: Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.

AI & Data Experience: Experience designing, building, and deploying production applications with data and AI/ML components. Modern Tooling: Familiarity with integrating AI APIs and leveraging AI-assisted development tools. Client-Facing Impact: Proven ability to deliver technical solutions that drive measurable outcomes for enterprise clients.

Communication: Excellent communication skills and the ability to engage confidently with diverse stakeholders. Mindset: Extreme curiosity, adaptability, and a genuine passion for learning new technologies.