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

Mainframe Developer

Milwaukee, WI · Hybrid

$48.25 - $62/hr

The Team Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ... systems, or embedded engineering * 4+ years of experience in Mainframe application development ...

Drive early development work for our rider facing electrical systems, infotainment, AI capabilities ... Electrical hardware design and embedded software focused on rapid prototyping and early development ...

Sr Mechatronics Engineer

Wauwatosa, WI · On-site

$109K - $159K/yr

Drive early development work for our rider facing electrical systems, infotainment, AI capabilities ... Electrical hardware design and embedded software focused on rapid prototyping and early development ...

Drive early development work for our rider facing electrical systems, infotainment, AI capabilities ... Electrical hardware design and embedded software focused on rapid prototyping and early development ...

AgenticOps Engineer

WI · On-site +1

... AI agent output across the organization. They are not embedded in any single team's daily sprint ... When a Product Engineer hits a wall with agent output quality-whether it's a spec the agent can't ...

The Agentic Ops Engineer operates as a cross-team specialist responsible for the health, reliability, and continuous improvement of AI agent output across the organization. They are not embedded in ...

... and embedded finance solutions that fit the way people want to bank. FIS technology powers the ... You'll also drive adoption of AI-assisted engineering practices, setting the tone for how others on ...

... and embedded finance solutions that fit the way people want to bank. FIS technology powers the ... You'll also drive adoption of AI-assisted engineering practices, setting the tone for how others on ...

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Showing results 1-20

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.
Mainframe Developer

Mainframe Developer

Deloitte

Milwaukee, WI • Hybrid

$48.25 - $62/hr

Other

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Mainframe Developer,you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Work you'll do/Responsibilities  

  • Responsible for the daily development, maintenance, and support of the mainframe health claims applications.
  • Develop, test, and deploy code changes for claims processing systems based on technical specifications.
  • Monitor daily batch jobs and resolve ABENDs within defined SLA timelines.
  • Assist in unit and integration testing of new healthcare compliance updates.
  • Maintain accurate technical documentation and runbooks for the Operate team.

The Team 

Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on June 10th, 2026

Qualifications 

 Required 

  • 4+ years of experience in software, systems, or embedded engineering
  • 4+ years of experience in Mainframe application development (COBOL, JCL, DB2).
  • Experience with incident and change management processes (e.g., ServiceNow).
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Qualifications 

 Preferred  

  • Experience in the healthcare/insurance domain

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $74,900.00-$147,600.00.


Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Mainframe Developer,you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Work you'll do/Responsibilities  

  • Responsible for the daily development, maintenance, and support of the mainframe health claims applications.
  • Develop, test, and deploy code changes for claims processing systems based on technical specifications.
  • Monitor daily batch jobs and resolve ABENDs within defined SLA timelines.
  • Assist in unit and integration testing of new healthcare compliance updates.
  • Maintain accurate technical documentation and runbooks for the Operate team.

The Team 

Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on June 10th, 2026

Qualifications 

 Required 

  • 4+ years of experience in software, systems, or embedded engineering
  • 4+ years of experience in Mainframe application development (COBOL, JCL, DB2).
  • Experience with incident and change management processes (e.g., ServiceNow).
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Qualifications 

 Preferred  

  • Experience in the healthcare/insurance domain

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $74,900.00-$147,600.00.


Education:Bachelor's DegreeEmployment Type:

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