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Embedded Ai Engineer Jobs in Ohio (NOW HIRING)

Senior Product Security Engineer

Cleveland, OH · On-site

$112K - $154K/yr

Lead the transition from traditional SDLC to a mature Secure SDLC with embedded DevSecOps controls ... AI Security & AI Engineering Partnership * Act as the dedicated security partner to CBIZ's AI ...

Senior Application Security Engineer

Cleveland, OH · On-site

$57.50 - $77/hr

Lead the transition from traditional SDLC to a mature Secure SDLC with embedded DevSecOps controls ... AI Security & AI Engineering Partnership * Act as the dedicated security partner to CBIZ's AI ...

$98K - $134K/yr

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training ... Embedded Systems Secuirty Engineer. * Develop an in-depth technical understanding of assigned ...

$98K - $134K/yr

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training ... Embedded Systems Secuirty Engineer. * Develop an in-depth technical understanding of assigned ...

Senior Application Security Engineer

Independence, OH · Hybrid

$111K - $153K/yr

Lead the transition from traditional SDLC to a mature Secure SDLC with embedded DevSecOps controls ... AI Security & AI Engineering Partnership * Act as the dedicated security partner to CBIZ's AI ...

Lead the transition from traditional SDLC to a mature Secure SDLC with embedded DevSecOps controls ... AI Security & AI Engineering Partnership * Act as the dedicated security partner to CBIZ's AI ...

Software Engineer II

Amherst, OH · On-site

$85K - $116K/yr

The Software Engineer II designs, develops, tests, and documents software for embedded systems and ... Evaluate and implement software technologies, including AI/ML and data-driven solutions, to improve ...

Showing results 41-60

Embedded Ai Engineer information

See Ohio salary details

$66.5K

$145.8K

$165.4K

How much do embedded ai engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for embedded ai engineer in Ohio is $145,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $164,500.00 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 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 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 popular job titles related to Embedded Ai Engineer jobs in Ohio?

For Embedded Ai Engineer jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Embedded Ai Engineer jobs?

Cities in Ohio with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Ohio as of August 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 44% In-person, and 56% Remote job distribution, with an average salary of $145,821 per year, or $70.1 per hour.

Forward Deployed Engineer Manager

Cleveland, OH • On-site

Accenture
IT Services • 10K+ employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You Are:

A Forward-Deployed AI Engineer who thrives at the intersection of cutting-edge AI platforms, enterprise systems, and real-world business problems. It is a product-minded, customer-embedded engineering role where you will work directly with clients, partners, and internal product teams to design, prototype, deploy, and scale end-to-end AI solutions.

The Work:

You will work hands-on with platforms such as OpenAI, Anthropic, Google Gemini, SAP, ServiceNow, and other enterprise systems, translating ambiguous business needs into production-grade AI workflows that deliver measurable impact.

This role requires strong engineering depth, excellent communication, comfort with ambiguity, and a builder’s mindset.

Responsibilities:
  • Work directly with clients and internal teams to understand business problems, shape AI use cases, and define technical solutions — often from ambiguous or evolving requirements.
  • Design and implement end-to-end AI solutions, integrating LLMs and AI services (OpenAI, Anthropic, Gemini, etc.) with enterprise platforms (SAP, ServiceNow, Salesforce, data platforms, internal systems).
  • Rapidly prototype, iterate, and deploy AI-enabled workflows, agents, copilots, and automations into real operational environments.
  • Serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business value.
  • Drive solution architecture, including:
  • Prompt and workflow design
  • API integrations and orchestration
  • Enterprise knowledge integration
  • Security, privacy, and governance considerations
  • Own solutions from concept → prototype → production → iteration, with accountability for quality, reliability, and outcomes.
  • Provide technical leadership and best practices for responsible, secure, and scalable AI deployment.

At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

What You Need:
  • 5+ years software engineering experience (Python, TypeScript/JavaScript, Java) with 5 years’ experience integrating APIs and building distributed, production systems.
  • 2+ years experience with modern AI/ML platforms such as:
  • OpenAI, Anthropic, or similar foundation model providers
  • Workflow orchestration and agent frameworks
  • 5+ years experience translating high-level business needs into concrete technical designs and implementations in a large enterprise-wide organizations or professional services firm.
  • 5+ years enterprise platforms (ServiceNow, Salesforce, SAP, data platforms, etc.)
  • 5+ years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.
  • Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 10/15/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50)

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

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