1

Apprentice Generative Ai Engineer Jobs in Arizona

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

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

Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and ... Guide junior engineers in best practices for AI/ML, review their work, and offer feedback to foster ...

ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are * A strong technologist who communicates effectively with engineers, architects, and project stakeholders.

... generative AI models, prompt engineering, and workflow automation tools (Zapier, Power Automate, n8n, etc.). • Understanding of business operations, particularly in professional services ...

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

$133K - $178K/yr

ML Associate, Data Engineer Associate, Generative AI Engineer Associate Who You Are * A strong technologist who communicates effectively with engineers, architects, and project stakeholders.

Gen AI Engineer II

Phoenix, AZ · On-site

$97K - $133K/yr

We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative AI capabilities to enhance software development workflows, improve productivity, and drive ...

This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product ...

This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product ...

This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics. The AI Engineer partners with Product ...

next page

Showing results 1-20

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:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Glendale, AZ • Remote

Other

Posted 24 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.