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Apprentice Generative Ai Engineer Jobs in Arizona

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

CANYON STATE ELECTRIC

AI Engineer

Tempe, AZ · On-site

$65K - $85K/yr

Strong familiarity with generative AI models, prompt engineering, and workflow automation tools (Zapier, Power Automate, n8n, etc.). * Understanding of business operations, particularly in ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

JDA

Sr Gen AI Engineer

Scottsdale, AZ

$87K - $140K/yr

Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow ...

Photon

AI Developer (Features + CHQ)

Tempe, AZ

AI Developer (Features + CHQ) Tempe, AZ - Onsite Summary This role focuses on building intelligent ... Work with Generative AI services, LLM APIs, semantic search, and workflow orchestration platforms.

Nerdy

AI Product Engineer

Phoenix, AZ · On-site

Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems ... Strong engineering skills in one or more areas: front-end, back-end, full-stack, systems, or ...

Wells Fargo

Principal AI Engineer

Chandler, AZ · On-site

The Principal Engineer serves as a technical authority who codes, prototypes, and reviews ... Demonstrated curiosity and innovation mindset for advancing Generative and Agentic AI solutions ...

IntraEdge

GEN AI Engineer II

Phoenix, AZ

$114K - $137K/yr

Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field Hands-on experience in building and deploying AI/ML models, focusing on Generative AI ...

Deloitte

Oracle AI Manager

Tempe, AZ · On-site

... Generative AI service Bachelor's degree in Computer Science, Engineering, or a related field Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you ...

Relativity

Software Engineer

Phoenix, AZ · On-site +1

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

Relativity

Software Engineer

Phoenix, AZ · On-site +1

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

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Apprentice Generative Ai Engineer information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, research directors, or executive positions in tech companies. These roles often require advanced skills in machine learning, deep learning, and experience with large-scale AI projects, along with leadership responsibilities and specialized certifications.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or AI engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like senior AI or machine learning engineers often reach this level through bonuses, stock options, and other compensation components.

How can I become an AI engineer with no experience?

To become an AI engineer with no experience, start by learning programming languages like Python and studying machine learning fundamentals through online courses or tutorials. Gaining hands-on experience with tools such as TensorFlow or PyTorch and building small projects can help develop practical skills; internships or entry-level roles can also provide valuable industry exposure.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

Which 3 jobs will survive AI?

For an Apprentice Generative AI Engineer, roles that require complex problem-solving, creativity, and emotional intelligence, such as AI ethics specialists, AI trainers, and human-centered design experts, are likely to persist. These jobs involve tasks that are difficult for AI to fully replicate and often require interdisciplinary skills and human judgment. Continuous learning and developing expertise in AI tools and ethical considerations will enhance job security in this field.
What are the most commonly searched types of Generative Ai Engineer jobs in Arizona? The most popular types of Generative Ai Engineer jobs in Arizona are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Arizona? For Apprentice Generative Ai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in Arizona look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Arizona are:
What cities in Arizona are hiring for Apprentice Generative Ai Engineer jobs? Cities in Arizona with the most Apprentice Generative Ai Engineer job openings:
Apprentice Generative Ai Engineer jobs near you
AI Devs (Platform + BE)_Tempe,AZ

AI Devs (Platform + BE)_Tempe,AZ

Photon

Anthem, AZ • On-site

Full-time

Posted 20 days ago

Job description

Job Description
Summary
Photon is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform.
The enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity.
The AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development.
Responsibilities
  • Design, develop, and maintain scalable backend services using Python and FastAPI.

  • Build and integrate AI-powered services, APIs, and workflow orchestration components.

  • Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.

  • Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities.

  • Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.

  • Work with enterprise systems including HR, IT, identity, and operational platforms.

  • Develop secure, scalable, and high-performance backend architectures.

  • Implement asynchronous processing, event-driven communication, and API integrations.

  • Collaborate with frontend, mobile, DevOps, product, and AI engineering teams.

  • Support cloud-native deployments using containers and Kubernetes.

  • Write clean, maintainable, and testable code with proper documentation and testing practices.

  • Participate in code reviews, debugging, monitoring, and production support activities.

  • Contribute to CI/CD pipelines, automated testing, and engineering best practices.

  • Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.

Qualifications
Need to Have
  • 5+ years of experience in backend or platform engineering.

  • Strong hands-on expertise in Python and FastAPI development.

  • Experience building REST APIs, microservices, and backend integration services.

  • Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.

  • Strong understanding of distributed systems and cloud-native application development.

  • Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.

  • Knowledge of asynchronous programming and event-driven architectures.

  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.

  • Strong understanding of API security, authentication, and authorization mechanisms.

  • Familiarity with Git-based workflows and Agile development practices.

  • Strong debugging, problem-solving, and communication skills.

  • Experience with RAG pipelines, vector databases, and semantic search.

Good to Have
  • Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

  • Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms.

  • Familiarity with Flutter/mobile integrations and frontend-backend communication.

  • Experience in QSR, retail, hospitality, or enterprise digital platforms.

  • Exposure to workflow automation and enterprise orchestration systems.

  • Experience with observability, monitoring, and logging tools.

  • Understanding of AI governance, prompt engineering, and AI evaluation frameworks.

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