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Ai Integration Engineer Jobs in Boston, MA (NOW HIRING)

Mechanical Engineer, AI Integration

Waltham, MA ยท Hybrid

$82K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Xometry is seeking a talented Mechanical Engineer to join our Generative AI and Geometric Integration team. In this role, you will apply your foundational knowledge of mechanical design ...

Mechanical Engineer, AI Integration

Waltham, MA ยท On-site

$82K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Xometry is seeking a talented Mechanical Engineer to join our Generative AI and Geometric Integration team. In this role, you will apply your foundational knowledge of mechanical design ...

Copilot Integration Engineer

Boston, MA ยท Remote

$106K - $143K/yr

Implement AI-powered workflows, assistants, knowledge retrieval, and automation capabilities ... Integrate Microsoft Copilot capabilities within existing Microsoft 365 environments * Support AI ...

Lead Engineer Data & AI

Boston, MA ยท On-site

$111K - $146K/yr

What we are currently looking for is a Lead Engineer for Data and AI. This role is central to the ... Generative AI Integration, applying LLMs for automated documentation * Knowledge of cloud platforms ...

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools, focusing on applied AI research and full-stack software ...

Senior Software Engineer, Applied AI

Cambridge, MA ยท On-site

$133K - $176K/yr

Applied AI Integration: Design and deploy backend services and data pipelines that directly support ... Partner with ML researchers, platform engineers, and scientists to translate models and algorithms ...

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Ai Integration Engineer information

See Boston, MA salary details

$48.3K

$135K

$188.5K

How much do ai integration engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai integration engineer in Boston, MA is $135,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $152,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Boston, MA?

For Ai Integration Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Boston, MA look for?

The top searched job categories for Ai Integration Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Ai Integration Engineer jobs?

Cities near Boston, MA with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,013 per year, or $64.9 per hour.

Mechanical Engineer, AI Integration

Xometry

Waltham, MA โ€ข Hybrid

$82K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Xometry is seeking a talented Mechanical Engineer to join our Generative AI and Geometric Integration team. In this role, you will apply your foundational knowledge of mechanical design, manufacturing processes, and 3D CAD data to support high-stakes strategic initiatives-specifically DFM AI + IQE integration.

Working closely with our Data Science and Product teams, you will act as a hands-on domain expert to translate physical manufacturing constraints, 2D technical drawings, and 3D geometry into structured inputs that train and improve Xometry's proprietary AI engine. This position bridges the gap between traditional mechanical engineering and modern software automation, helping build a real-time digital thread directly inside our partner's ecosystem (NX, Designcenter, and Teamcenter).

This role requires a hybrid schedule (3 days a week) at our Waltham, MA or North Bethesda, MD office location.

How You'll Contribute1. Partnership Execution (DFM/IQE)
  • Geometric Feature Analysis: Analyze native 3D CAD models to identify complex geometric topologies, specific features (such as deep pockets, complex threads, thin walls), and GD&T annotations to verify that Xometry's automated engine is reading them accurately.
  • Integration Support: Assist in testing and validating the real-time manufacturability (DFM) and pricing feedback loops embedded directly within Siemens NX and Teamcenter workflows.
2. Hands-on AI Collaboration & Data Labeling
  • Engineering Ground-Truth: Partner daily with Data Scientists and Machine Learning engineers to provide the "ground-truth" engineering logic required to train Generative AI models.
  • Multimodal Data Processing: Assist in creating, reviewing, and structured-labeling datasets from 2D technical drawings, PDFs, and purchase orders so the AI can learn to extract engineering data flawlessly.
3. DFM Rule Mapping & Testing
  • Manufacturing Logic Mapping: Help document and map standardized manufacturing constraints across various processes (CNC machining, sheet metal, 3D printing) into discrete rules for software consumption.
  • Continuous Testing: Conduct regression testing on software outputs, comparing AI-generated pricing and lead times against real-world manufacturing metrics to spot errors and improve performance.
4. Cross-Functional Coordination
  • Day-to-Day Alignment: Work as a reliable technical point of contact across internal engineering, operations, and external partner development tracks to keep the integration milestones on schedule.
What You'll Bring to XometryExperience & Education
  • Experience: 2-5+ years of hands-on experience in mechanical design, manufacturing engineering, or a closely related industrial environment.
  • Education: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related technical discipline is required.
Technical Skills
  • CAD Proficiency: Solid working knowledge of enterprise CAD/PLM systems. Direct experience using Siemens NX and Teamcenter is a major plus.
  • Manufacturing & GD&T Basics: Strong foundational understanding of standard manufacturing methods (particularly multi-axis CNC milling/turning and sheet metal fabrication) and a clear ability to interpret ASME Y14.5 GD&T prints.
  • Software/Scripting Familiarity: Comfortable working in a tech-forward software environment. Basic proficiency in Python or a strong willingness to learn it for automated data analysis and geometric manipulation is highly desired.
Communication & Interpersonal Skills
  • Collaboration: Strong capability to communicate technical engineering concepts clearly to non-mechanical peers, such as software developers and data scientists.
  • Problem-Solving: High attention to detail, strong spatial reasoning, and an agile mindset comfortable with rapid experimentation and iterating.

The estimated base salary range for new hires into this role is $82,000 - $97,000 annually depending on factors such as job-related skills, relevant experience, and location.ย  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more

#LI-Hybrid

#Promoted


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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013