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Mechanical Engineer Artificial Intelligence Jobs

Actalent

Mechanical Engineer

Grand Rapids, MI

$70K - $80K/yr

MEP Mechanical Engineer Essential Skills * Proficient in design, mechanical engineering, and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... mechanisms, we developed patented, quantum-resistant Data Camouflage™ technology for data in ... We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ...

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Mechanical Engineer Artificial Intelligence information

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$45.5K

$102.9K

$166.5K

How much do mechanical engineer artificial intelligence jobs pay per year?

As of Aug 9, 2026, the average yearly pay for mechanical engineer artificial intelligence in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a mechanical engineer specializing in artificial intelligence, and why are they important?

To thrive as a Mechanical Engineer in Artificial Intelligence, a strong background in mechanical engineering principles, mathematics, and computer science—often supported by a relevant degree—is essential. Familiarity with CAD software, machine learning frameworks (such as TensorFlow or PyTorch), and programming languages like Python or MATLAB is typically required. Strong problem-solving abilities, creativity, and effective communication skills help professionals excel in interdisciplinary teams and innovative projects. These combined skills enable the design of intelligent mechanical systems that optimize efficiency and performance in advanced engineering environments.

What is a mechanical engineer in artificial intelligence?

A Mechanical Engineer in Artificial Intelligence applies AI technologies and machine learning algorithms to mechanical engineering problems. They work on integrating AI into the design, development, and maintenance of mechanical systems, such as robotics, smart manufacturing, or predictive maintenance. Their role often involves collaborating with data scientists, software engineers, and other professionals to create intelligent systems that can optimize processes, reduce costs, and improve efficiency. This interdisciplinary field is rapidly growing as AI continues to transform traditional engineering practices.

How do mechanical engineers specializing in artificial intelligence typically collaborate with software engineers and data scientists on projects?

Mechanical Engineers working in Artificial Intelligence often collaborate closely with software engineers and data scientists to integrate AI algorithms into mechanical systems, such as robotics or smart manufacturing equipment. They contribute their expertise in physical systems, prototyping, and hardware-software integration, while software engineers focus on coding and data scientists develop and refine AI models. Regular interdisciplinary meetings and joint problem-solving sessions are common, ensuring that the mechanical, software, and AI components work seamlessly together to achieve project goals.

Can a mechanical engineer work in AI?

A mechanical engineer can work in AI by applying skills in robotics, control systems, and data analysis to develop intelligent machines and automation solutions. Gaining knowledge in programming, machine learning, and AI tools like Python or TensorFlow can enhance their suitability for AI roles. Interdisciplinary expertise and additional training in AI concepts are often beneficial for such transitions.

What is the difference between Mechanical Engineer Artificial Intelligence vs Mechanical Engineer?

AspectMechanical Engineer Artificial IntelligenceMechanical Engineer
Required CredentialsBachelor's in Mechanical Engineering, plus knowledge of AI and programmingBachelor's in Mechanical Engineering
Work EnvironmentDesigning AI-driven systems, software development, research labsDesign, analysis, manufacturing in industrial or R&D settings
Industry UsageAI integration in robotics, automation, smart systemsProduct design, manufacturing, mechanical systems
Common Search IntentMechanical Engineer Artificial Intelligence vs Mechanical EngineerMechanical Engineer roles and responsibilities

Mechanical Engineer Artificial Intelligence combines traditional mechanical engineering skills with expertise in AI and programming, focusing on intelligent systems and automation. In contrast, Mechanical Engineers primarily work on designing and analyzing mechanical systems without necessarily involving AI. Both roles share foundational engineering principles but differ in their focus areas and skill requirements.

More about Mechanical Engineer Artificial Intelligence jobs
What cities are hiring for Mechanical Engineer Artificial Intelligence jobs? Cities with the most Mechanical Engineer Artificial Intelligence job openings:
What states have the most Mechanical Engineer Artificial Intelligence jobs? States with the most job openings for Mechanical Engineer Artificial Intelligence jobs include:
What job categories do people searching Mechanical Engineer Artificial Intelligence jobs look for? The top searched job categories for Mechanical Engineer Artificial Intelligence jobs are:
Mechanical Engineer Artificial Intelligence jobs near you
Infographic showing various Mechanical Engineer Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.

Senior Engineer Artificial Intelligence

Tata Consultancy Service Limited

Santa Clara, CA • On-site

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

Must Have Technical/Functional Skills
Must-Have Skills and Experience
• Strong hands-on engineering skills with experience building prototypes, integrations, or solution accelerators using cloud and API-based technologies.
• Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering, or similar AI application environments.
• Ability to develop agentic workflows, lightweight integrations, and multi-modal demonstrations for customer or partner scenarios.
• Strong communication and cross-functional collaboration skills with the ability to connect technical validation to business value.
• Total experience: 5 to 7 years, including 3 to 5 years of AI experience, with strong written and spoken English.
• Bachelors degree in Engineering or Computer Science.
Preferred Skills
• Google Professional ML Engineer certification is preferred.
• Gemini Enterprise Partner Certification preferred.
• Google Associate Cloud Engineer certification preferred.
• Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.
Roles & Responsibilities
• Build working prototypes, proof points, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
• Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
• Own technical validation across deal cycles by rapidly translating Gemini Enterprise capabilities into deployable prototype outcomes.
• Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
• Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.
Generic Managerial Skills:
• Strong stakeholder management and cross-functional collaboration
• Ability to understand customer requirements and translate them into actionable technical outcomes
• Clear communication of technical concepts to business and non-technical stakeholders
• Ownership mindset with accountability for delivery, timelines, and quality
• Problem-solving ability in ambiguous or fast-moving environments
• Prioritization skills to manage multiple prototypes, demos, or validation requests
• Ability to influence teams without direct authority
• Strong documentation and reporting discipline
• Customer-centric thinking with focus on business value and outcome alignment
• Adaptability to work in pilot, evolving, or high-visibility engagement models
TCS Employee Benefits Summary
• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $150,000-$175,000 a year

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