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Generative Ai Insurance Jobs in Clinton, NJ (NOW HIRING)

Infosys Limited Digital

AI/ML Data Architect

Basking Ridge, NJ · On-site

$65.75 - $84.50/hr

Required Skill and Experience Experience in AI/ML & Generative AI Data Architecture RAG (Retrieval ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

Northern Base

Product Owner

Bridgewater, NJ · On-site

Insurance Platform Modernization * Digital Transformation * Regulatory & Compliance Requirements AI & Emerging Technology Skills: * Generative AI (GenAI) * Agentic AI * Large Language Models (LLMs)

Infosys

AI/ML Data Architect

Basking Ridge, NJ · On-site

$65.75 - $84.50/hr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... Required Skill and Experience Experience in AI/ML & Generative AI Data Architecture RAG (Retrieval ...

CYNET SYSTEMS

CSV Consultant

Raritan, NJ · On-site

$48 - $53/hr

Demonstrated delivery experience with Generative AI and Agentic AI solutions, including validation ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Lawyer.com

Sales Director

Basking Ridge, NJ · On-site

We are a tech first leader with multiple generative AI services and connect with hundreds of ... Medical, dental and vision healthcare insurance * Health oriented work environment including sit ...

Lawyer.com

Sales Director

Basking Ridge, NJ · On-site

We are a tech first leader with multiple generative AI services and connect with hundreds of ... Medical, dental and vision healthcare insurance * Health oriented work environment including sit ...

Lawyer.com

Sales Director

Basking Ridge, NJ · On-site

We are a tech first leader with multiple generative AI services and connect with hundreds of ... Medical, dental and vision healthcare insurance * Health oriented work environment including sit ...

MSIG Holdings USA, Inc.

Data Product Owner

Warren, NJ · On-site

Generative AI summaries for underwriting files, actuarial memos, and product performance narratives ... P&C insurance experience strongly preferred. * Strong understanding of underwriting operations ...

Rutgers University

Research Assistant

Piscataway, NJ · On-site

$14K/mo

Life insurance coverage * Employee discount programs Posting Summary We are seeking a motivated ... to generative AI and large vision-language models. Position Status Part Time Posting Number ...

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Showing results 21-40

All JobsGenerative Ai Insurance JobsGenerative Ai Insurance Jobs in Clinton, NJ

Generative Ai Insurance information

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.

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 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 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 cities near Clinton, NJ are hiring for Generative Ai Insurance jobs?

Cities near Clinton, NJ with the most Generative Ai Insurance job openings:

Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in Clinton, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Applied AI Scientist - R&D and Regulatory

Amneal Pharmaceuticals

Bridgewater, NJ • On-site

$190K - $225K/yr

Full-time

Medical, Retirement

Posted 10 days ago

Amneal Pharmaceuticals rating

7.0

Company rating: 7.0 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

73rd of 86 rated pharmaceutical

Job description


The Applied AI Scientist - R&D and Regulatory builds and deploys AI systems that accelerate product development and regulatory submissions. The role applies natural language processing, document intelligence, and generative AI to Amneal's scientific and regulatory content, delivering validated systems that meet GxP and 21 CFR Part 11 requirements and are defensible under health authority inspection. The role sits within the Enterprise AI Transformation function, working in close partnership with Regulatory Affairs and R&D.
Essential Functions:
Regulatory & Scientific Agents
  • Build models that analyze historical health authority correspondence - deficiency letters, information requests, and complete response letters - to identify recurring deficiency patterns and flag submission risk prior to filing.
  • Develop retrieval and generation agentic systems over controlled scientific content including specifications, analytical methods, stability data, prior filings, and eCTD, with full traceability from output to source.
  • Build AI-assisted drafting and comparison capability for product labeling, including structured product labeling content and reference listed drug comparison.

AI Solution Development
  • Design and maintain formal evaluation frameworks for all generative systems, including curated golden datasets, defined failure taxonomies, and automated regression testing.
  • Execute AI system validation under Amneal's GxP AI validation framework: risk classification, intended-use definition, qualification testing, and periodic review.
  • Build and maintain production data pipelines on Databricks over unstructured scientific documents, including OCR, parsing, and entity extraction from legacy PDF sources.

Business Impact
  • Establish benefit baselines with Regulatory and R&D functional owners and measure realized cycle-time and capacity outcomes.
  • Present technical approaches, validation evidence, and model limitations to Regulatory, and R&D leadership.
  • Enable larger organization and educate to upskill on usage and application of agentic systems.

Research and Portfolio Insights
  • Develop literature, patent, and prior-art mining capabilities supporting product development screening and portfolio prioritization.

Qualifications
Education:
  • Bachelor's Degree (BA/BS) Computer Science, Computational Chemistry, Bioinformatics, Statistics or a related quantitative or scientific field, with equivalent demonstrated experience (Required)
  • Master's Degree (MS/MA) Computer Science, Computational Chemistry, Bioinformatics, Statistics or a related quantitative or scientific field (Preferred)
  • Ph. D. Computer Science, Computational Chemistry, Bioinformatics, Statistics or a related quantitative or scientific field (Preferred)

Experience:
  • 5 years or more in Developing and deploying machine learning or AI systems in a production environment
  • 5 years or more in Advanced proficiency with Python, agentic frameworks
  • 5 years or more in Hands on experience building and evaluating LLM and agentic applications including retrieval-augmented generation, structured output, tool use, multi-step agent orchestration, and quantitative evaluation
  • 5 years or more in NLP experience over technical or scientific text, including document parsing, information extraction and semantic search
  • 5 years or more in AI system validation or AI governance in a regulated industry

Specialized Knowledge:
  • Demonstrated ability to work within documented, controlled processes and produce audit-quality technical documentation (required)
  • Databricks (Unity Catalog, Delta Lake, MLflow) and cloud ML platforms such as Amazon Bedrock or SageMaker (preferred)
  • Knowledge / experience with GxP-regulated environment; familiarity with 21 CFR Part 11, computerized system validation, or GAMP 5 (preferred)
  • Knowledge of ANDA, NDA, or DMF submission content, eCTD structure, or health authority correspondence (preferred)

The salary range for this position ranges from $190,000 - $225,000 per year. In addition, Amneal offers a short-term incentive opportunity, such as a bonus or performance-based award with this position within the first 12 months. Amneal ranges reflect the Company's good faith estimate of what Amneal reasonably believes that it will pay for said position at the time of the posting. Individual compensation will ultimately be determined based on a variety of relevant factors, including but not limited to, qualifications, experience, geographic location and other relevant skills.
At the heart of our Total Rewards commitment is a comprehensive, flexible and competitive benefits program for eligible positions that enables you to choose the plans and coverage that meet your personal needs. This includes above-market, diverse and robust health and insurance benefits to meet the varied needs of our employees as well as a significant 401(k) matching contribution to help our employees save for retirement. We also promote employee well-being with programs that help you enjoy your career alongside life's many other commitments and opportunities.

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