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Embedded Ai Engineer Jobs in Arizona (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

As an AI Business Engineer, your role will be that of a business embedded technologist responsible for identifying, designing, and delivering AI enabled solutions directly within the line of business ...

GuideTech Open Roles

Embedded Software Engineer

Tucson, AZ · On-site

$124K - $164K/yr

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Our engineers work across the full development lifecycle from embedded software development and ...

GuideTech LLC

Embedded Software Engineer

Tucson, AZ

$124K - $164K/yr

GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial ... Our engineers work across the full development lifecycle from embedded software development and ...

Viasat, Inc.

Embedded Software Engineer - Space

Tempe, AZ · On-site

$174K - $261K/yr

What you'll do This is a role for an Embedded Software Engineer within Space Infrastructure ... Experience with AI Toolkits and Platforms (e.g. Copilot, Claude, Cursor, etc.) * Familiarity with ...

Viasat, Inc.

Embedded Software Engineer - Space

Tempe, AZ · On-site

$174K - $261K/yr

What you'll do This is a role for an Embedded Software Engineer within Space Infrastructure ... Experience with AI Toolkits and Platforms (e.g. Copilot, Claude, Cursor, etc.) * Familiarity with ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

AI Integration: Integrate AI/ML models, LLMs, and Generative AI APIs into existing Java ... Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Arizona

Embedded Ai Engineer information

See Arizona salary details

$65.2K

$142.9K

$162.1K

How much do embedded ai engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for embedded ai engineer in Arizona is $142,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Arizona? For Embedded Ai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Arizona look for? The top searched job categories for Embedded Ai Engineer jobs in Arizona are:
What cities in Arizona are hiring for Embedded Ai Engineer jobs? Cities in Arizona with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Arizona as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $142,936 per year, or $68.7 per hour.

AI Engineer

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$110K - $125K/yr

Full-time

Posted 27 days ago

Job description

AI Engineer
Overview: As an AI Business Engineer, your role will be that of a business embedded technologist responsible for identifying, designing, and delivering AI enabled solutions directly within the line of business with a dotted line relationship to the centralized AI team for governance and scalability. In this role, you will have an excellent opportunity to work closely with business users in a collaborative environment, while executing & assisting with the design and development of business-driven projects
The AI Business Engineer is a thinker and a hands-on innovator. The ideal candidate is a passionate advocate for AI, someone who thrives on building AI driven workflows and someone whose passion is uncovering hidden inefficiencies and unlocking new levels of productivity through intelligent automation
Responsibilities:
• Design and build business driven workflow projects using Copilot based intelligent agents, low code/ no code automations, and AI assisted workflows using Microsoft Power Platform, Copilot Studio, and Microsoft 365 Chat
• Conduct research and gather data to support project planning and execution.
• Prepare technical documentation, reports and presentations as well as support the testing and validation of unit code, in conjunction with error handling through pipelines.
• Identify untapped opportunities and build for AI-driven transformation within line of business processes
• Build solutions primarily using Copilot Studio, M365 Copilot, Azure services and platforms with a focus on Generative AI.
• Drive discovery sprints and AI ideation efforts
• Stay abreast of broad AI efforts and initiatives by collaborating with our bank-wide AI department
Qualifications:
• Bachelor's degree in computer science, information-technology, engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent experience.
• Strong knowledge of general Financial Services & Technology is preferred.
• Working knowledge of M365 Copilot, Copilot Studio, knowledge of cloud platforms and rapid prototyping tools
• Strong understanding & working knowledge of Agentic AI including LLMs, Agents, prompts and other protocols
• Strong understanding of process consulting, process engineering, operations modernization, or business transformation in financial services
• Understanding of automated code build solutions for CI/CD Pipelines.
• Full stack development
• Strong interpersonal & problem-solving skills along with the ability to build relationships with team members, stakeholders, and external partners.
Tech Stack: Full stack developer, Strong azure & cloud knowledge and Built applications using AI
Salary Range- $110,000-$125,000 a year
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