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Ai Algorithm Engineer Jobs in Arizona (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ... algorithm scalability and deployment based on agile business priorities and initiatives

YO AI Labs

Backend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

Forhyre

Prompt Engineers

Phoenix, AZ · On-site

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in ...

YO AI Labs

Frontend Developer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... No prior AI experience is required. Key Responsibilities * Create reinforcement learning ...

Prosum Inc.

Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

... algorithms seamlessly processing massive, high-bandwidth streaming data at production scale ... Integrate AI models into production-grade C++ and Python applications. * Improve inference ...

Intel

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... Accuracy validation of floating-point algorithms * Software libraries design and architecture ...

New

Intel

AI Software Engineering Intern

Phoenix, AZ

$101K - $136K/hr

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... Accuracy validation of floating-point algorithms * Software libraries design and architecture ...

Intel

AI Software Engineering Intern

Phoenix, AZ · On-site

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... Accuracy validation of floating-point algorithms * Software libraries design and architecture ...

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Ai Algorithm Engineer information

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What are popular job titles related to Ai Algorithm Engineer jobs in Arizona?

For Ai Algorithm Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Algorithm Engineer jobs in Arizona look for?

The top searched job categories for Ai Algorithm Engineer jobs in Arizona are:

Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Arizona as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tucson, AZ • On-site

Other

Re-posted 14 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.

Apply