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Embedded Ai Engineer Jobs in Racine, WI (NOW HIRING)

Directsupply

Staff Software Engineer

Milwaukee, WI

You will influence how software is built, ensuring that AI augmentation, agentic workflows, and autonomous systems are embedded into our engineering DNA. This role involves architecting and scaling ...

Pwc

US Tech - AI Engineering Manager

Milwaukee, WI · On-site

$73K - $244K/yr

... AI/ML engineering, data engineering, or software engineering - In lieu of a Bachelor's Degree ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

Quora

AI Automation Engineer -Remote

Milwaukee, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Racine, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Kenosha, WI · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

Partner with executive stakeholders across Product, AI Engineering, and Client Services to align ... and embedded data experiences. * Deliver scalable, templated reporting solutions that reduce ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

Partner with executive stakeholders across Product, AI Engineering, and Client Services to align ... and embedded data experiences. * Deliver scalable, templated reporting solutions that reduce ...

S&C Electric

Software Engineer III

Franklin, WI · On-site

$106K - $140K/yr

Design embedded application firmware for microprocessor-based switch and fault interrupting ... Experience using generative AI tools, such as Github Copilot, to assist productivity. * Being a ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Racine, WI

Embedded Ai Engineer information

See Racine, WI salary details

$65.6K

$143.8K

$163.2K

How much do embedded ai engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for embedded ai engineer in Racine, WI is $143,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $162,200.00 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.
Embedded Ai Engineer jobs near you
Staff Software Engineer

Staff Software Engineer

Direct Supply, Inc.

Milwaukee, WI • On-site

Full-time

Posted 6 days ago

Job description

Position Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.
In the Staff Software Engineer position, you'll play a critical role in shaping AI-first engineering practices, setting technical direction, and driving the adoption of cutting-edge AI capabilities across multiple teams. You will influence how software is built, ensuring that AI augmentation, agentic workflows, and autonomous systems are embedded into our engineering DNA. This role involves architecting and scaling AI-powered solutions, mentoring senior engineers, and collaborating with leadership to define and execute AI-driven strategies. Your leadership will extend beyond technical execution-helping teams develop a deep understanding of business context, financial implications, and the strategic impact of AI-driven solutions.
Skills Needed:
  • Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.
  • Champions Innovation - Propels teams to unlock value with cutting-edge, tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing. Leads with an entrepreneurial mindset and takes calculated risks.
  • Leads Through Change & Ambiguity - Navigates the unknown with confidence, steering through change and uncertainty with a clear vision and unwavering determination.
  • Ability to mentor and influence senior engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
  • Technical expertise in AI integration across natural language processing, computer vision, and generative models.
  • Experience in architecting scalable AI-powered solutions that align with long-term business goals and customer needs.

What You'll Do and Impact:
  • Define and execute the AI engineering strategy, embedding AI-first principles across teams and projects.
  • Architect and scale AI-enhanced systems, integrating LLMs, agentic workflows, and composable architectures.
  • Mentor engineers, sharing expertise in AI-first methodologies and best practices.
  • Lead cross-functional AI initiatives, incorporating NLP, computer vision, and generative AI into products.
  • Implement AI-powered developer tools to streamline development and boost efficiency.
  • Drive experimentation and bridge the gap between AI research and production-ready applications.
  • Partner with leadership to develop AI adoption roadmaps aligned with business objectives.
  • Ensure security, scalability, and AI observability throughout the software lifecycle.
  • Make key decisions on technical trade-offs, architecture, and AI tooling.

Experience:
  • 8+ years of software engineering experience, including 3+ years leading AI-powered application development.
  • Bachelor's degree in Computer Science, Computer Engineering, or related field.
  • Proven experience developing, deploying, and scaling AI-powered applications (provide examples of integrations using open models or APIs).
  • Expertise in designing AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
  • Hands-on experience with LLMs, agentic AI models, and autonomous AI-driven workflows.
  • Strong skills in AI model deployment, cost optimization, and fine-tuning.
  • Deep understanding of security, compliance, and ethical considerations in AI development.

Additional Items of Interest:
  • Experience leading AI-first engineering transformations across teams.
  • Contributions to open-source AI projects or AI thought leadership.
  • Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices.
  • Industry engagement through conferences, research initiatives, or AI-first development communities.
  • Cloud-native AI deployment experience (Docker, Kubernetes, cloud platforms).

Job to be performed in the location listed. Generous benefit package available.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.

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