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Generative Ai Insurance Jobs in Boston, MA (NOW HIRING)

Xometry

Mechanical Engineer, AI Integration

Waltham, MA · 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 ... insurance; generous paid time off including vacation, sick leave, floating and fixed holidays ...

Manulife Financial

Senior Data Scientist

Boston, MA · On-site

$107.45 - $199.55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrate proficiency in developing, fine‑tuning, and deploying Generative AI models such as ... John Hancock Life Insurance Company (U.S.A.) #J-18808-Ljbffr

Instem plc

Principal AI Scientist and Lead

Boston, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Life Insurance, Long Term & Short-Term Disability Insurance, Generous 401K (matching) Plan ... Develop Predictive & Generative Models Build AI models to support study design, prediction, and ...

Instem plc

Principal AI Scientist and Lead

Boston, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Life Insurance, Long Term & Short-Term Disability Insurance, Generous 401K (matching) Plan ... Develop Predictive & Generative Models Build AI models to support study design, prediction, and ...

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Showing results 21-40

All JobsGenerative Ai Insurance JobsGenerative Ai Insurance Jobs in Boston, MA

Generative Ai Insurance information

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.

What cities near Boston, MA are hiring for Generative Ai Insurance jobs?

Cities near Boston, MA with the most Generative Ai Insurance job openings:

Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Mechanical Engineer, AI Integration

Xometry

Waltham, MA • On-site

$82K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

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.
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 Contribute
1. 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 Xometry
Experience & 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. 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
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

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

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