1

Embedded Ai Engineer Jobs in Chicago, IL (NOW HIRING)

SUMMARY OF PRIMARY FUNCTION The Embedded software Engineer is a key member of the IDEX-Dispensing ... Ability to leverage AI tools for coding EDUCATION LEVEL, SPECIALIZED KNOWLEDGE, TRAINING, LICENCES ...

Embedded Software Engineer

Wheeling, IL · On-site

$127K - $190K/yr

SUMMARY OF PRIMARY FUNCTION The Embedded software Engineer is a key member of the IDEX-Dispensing ... Ability to leverage AI tools for coding EDUCATION LEVEL, SPECIALIZED KNOWLEDGE, TRAINING, LICENCES ...

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

Engineer Embedded Software 3

Rolling Meadows, IL · On-site

$132K - $174K/yr

Job#: 3046194 Embedded Software Engineer 3 Location: Rolling Meadows, Illinois (Onsite) Clearance ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

New

AI Product Engineer

Chicago, IL · On-site

$145K - $182K/yr

Role Overview We are seeking Forward-Deployed AI Engineers to rapidly prototype AI solutions in ... This role is embedded in our discovery team, working alongside Product Managers, UX designers, and ...

... embedded from inception. * Stay current on evolving AI security threats including adversarial ... Collaborate with software engineers to embed security controls into code pipelines, authentication ...

... embedded from inception. * Stay current on evolving AI security threats including adversarial ... Collaborate with software engineers to embed security controls into code pipelines, authentication ...

... workflow-embedded AI. * Lead Pacvue's agentic AI strategy across customer workflows, internal ... Partner with Product, Engineering, and AI/DS leaders to turn models and AI capabilities into ...

Showing results 21-40

Embedded Ai Engineer information

See Chicago, IL salary details

$72.2K

$158.1K

$179.4K

How much do embedded ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for embedded ai engineer in Chicago, IL is $158,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,600.00 and $178,400.00 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?

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 cities near Chicago, IL are hiring for Embedded Ai Engineer jobs?

Cities near Chicago, IL with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $158,132 per year, or $76 per hour.

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 hours ago


Job description

CompanyFederal Reserve Bank of RichmondWhen you join the Federal Reserve-the nation's central bank-you'll play a key role, collaborating with a dynamic and diverse team of mission-driven professionals to strengthen and protect our economy and our communities.
Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance.
Onsite presence is required.

About the Opportunity

The Enterprise Resources Planning department has an immediate opening for an AI Solutions Engineer, reporting to Senior Manager - Product Manager.

The Enterprise Resource Planning (ERP) Support Office seeks an AI Solutions Engineer with Cloud experience to bring AI innovation across our enterprise while building the Platform-as-a-Service (PaaS) foundation that enables it. This is a ground-floor opportunity to be a part of driving how AI transforms HR, finance, and procurement-while establishing the cloud platform capabilities needed to scale those solutions.

You'll begin by deploying and configuring native AI features within ERP vendor platforms (intelligent agents, assistants, automation), then progressively build the platform capabilities needed for custom AI applications, advanced integrations, and end-to-end automation solutions that connect across the enterprise. Your cloud engineering experience will be instrumental in developing deployment pipelines and engineering processes as we mature our PaaS capabilities.

This is a fully onsite position located in Richmond, Boston and Kansas District location.

What You Will Do:

  • Translate business and operational challenges into practical AI opportunities and technical solutions

  • Deploy and configure AI capabilities in ERP platforms and products such as Workday and SAP Ariba (AI agents, assistants, automation features)

  • Build custom AI solutions including intelligent agents, chatbots and automation leveraging Gen AI and LLMs as platform maturity increases

  • Define and document technical specifications for deploying ERP and AI solutions and capabilities.

  • Lead AI projects from concept to production, ensuring business alignment and measurable ROI

  • Enable PaaS environments within Workday and SAP to support AI deployments and future custom development

  • Help develop deployment pipelines and engineering processes as we establish PaaS services, bringing your cloud engineering expertise

  • Configure and integrate platform services, security, and governance with corporate cloud computing services and other business systems

  • Assess emerging technologies and recommend adoption approaches, contributing to the ERP technology roadmap

  • Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership

  • Champion AI literacy through training, demonstrations, and knowledge sharing across the organization

  • Provide production support and knowledge training for solutions you deploy

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • 10+ years in IT/software engineering with hands-on experience in corporate/industry environments

  • Proven track record deploying AI solutions to production in corporate settings (traditional AI, Gen AI, or agentic AI)

  • 3+ years with enterprise cloud platforms (Workday, SAP, Oracle, Salesforce, or similar) in technical or configuration capacity

  • Strong communication skills to explain complex or technical concepts to non-technical stakeholders, especially with regards to AI solutions

  • Experience with deployment pipelines, CI/CD, or DevOps practices

  • Hands-on experience deploying AI/ML solutions including Machine Learning, Gen AI, LLMs, AI agents, or chatbots to production

  • Platform configuration expertise with enterprise SaaS/PaaS systems or experience with IaaS environments

  • Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)

  • Data management: SQL, data pipelines, data quality assessment

  • Programming proficiency in Python

Preferred Qualifications

  • Hands-on experience with Workday AI, SAP AI capabilities, or similar vendor-embedded AI

  • Knowledge or experience with Workday Extend, SAP BTP, or similar platforms for custom development

  • Process workflow automation knowledge/experience

  • DevOps/MLOps experience building CI/CD pipelines and automation frameworks

  • Cloud platform experience (AWS, Azure, GCP) and AI/ML services and frameworks

  • Domain knowledge in HR, finance, or procurement

  • AI/ML or cloud certifications

Discover the Reason Why So Many People Love It Here!

When you join the Richmond Fed, not only will you find a challenging and purposeful career, you'll also have access to a wide range of benefits and perks that support your health and wealth, including:

  • Great medical benefits

  • Pension and 401(k) with employer match

  • Paid time off

  • Tuition reimbursement

  • Paid volunteer leave

  • Onsite amenities that make working here fun!

Other Requirements and Considerations:

  • Candidates should review the Bank's Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions.

  • If you need assistance or an accommodation due to a disability, please notify rich.recruit@rich.frb.org.

  • Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship.

  • The hiring salary range is $133,000 - $183,000 annually.

  • For candidates located outside of Richmond, VA, the listed hiring and salary ranges may be adjusted based on your geographic location.

  • Salary offered will be based on the job responsibilities and the individual's knowledge, skills, and experience as defined in the job qualifications.

  • Applications are reviewed on a rolling basis.

  • Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

Privacy Notice