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Generative Ai Insurance Jobs in California (NOW HIRING)

Senior AI Engineer

Oakland, CA · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Roles & Responsibilities Core Skills & Responsibilities Generative AI & LLM Engineering • Strong ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

GTM Director (PLG)

San Francisco, CA · On-site

$180K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About Higgsfield AI Higgsfield AI is the fastest-scaling generative AI company in history, reaching ... vision insurance, a competitive 401(k) retirement plan with company matching, and additional ...

Director of Engineering, AI/ML

Los Angeles, CA

$250K - $380K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Generative AI technologies, with a strong background in Insurtech related AI applications being ... Medical, dental, and vision insurance * 401(k) plan w/match * 14 days of PTO + 9 paid holidays to ...

Director of Engineering, AI/ML

Los Angeles, CA · On-site

$250K - $380K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Generative AI technologies, with a strong background in Insurtech related AI applications being ... Medical, dental, and vision insurance * 401(k) plan w/match * 14 days of PTO + 9 paid holidays to ...

Software Engineer - AI

San Francisco, CA · On-site

$170K - $240K/yr

  • Medical

  • Dental

  • Vision

As a Software Engineer - AI, you'll design and deliver end-to-end generative AI and large language ... We cover 100% of base medical, dental, and vision insurance plans for employees and their ...

AI/ML Engineer

Woodland Hills, CA · On-site

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Generative AI & LLMs o Prompt engineering for LLM-based applications • Document Processing o ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Agentic AI/Python Engineer

Concord, CA · On-site

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong understanding of Generative AI and Large Language Models (LLMs) . * Strong hands-on ... insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term ...

New

Software Engineer - AI

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

As a Software Engineer - AI, you'll design and deliver end-to-end generative AI and large language ... We cover 100% of base medical, dental, and vision insurance plans for employees and their ...

ML Engineer

Woodland Hills, CA · On-site

$56 - $61/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Solid understanding of ML algorithms and Generative AI concepts. Experience working with Vector Databases and/or MongoDB. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) ...

Payroll Manager

Redwood City, CA · On-site

$98K - $120K/yr

  • Medical

  • Retirement

... globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the ... audits, insurance renewals, benefits requests, and payroll cash flow reporting. Qualifications:

Showing results 41-60

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 job categories do people searching Generative Ai Insurance jobs in California look for?

The top searched job categories for Generative Ai Insurance jobs in California are:

What cities in California are hiring for Generative Ai Insurance jobs?

Cities in California with the most Generative Ai Insurance job openings:

Infographic showing various Generative Ai Insurance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

Must Have Technical/Functional Skill
Senior AI Engineer with deep, hands on expertise in Generative AI, multi agent orchestration, and LLM based systems to design, build, and scale secure, production grade AI platforms. The role requires strong engineering rigor, practical experience beyond PoCs, and the ability to operationalize agentic AI in complex enterprise environments.
Roles & Responsibilities
Core Skills & Responsibilities
Generative AI & LLM Engineering
• Strong hands on experience building LLM powered applications for reasoning, summarization, Q&A, and content generation
• Expertise in prompt engineering, prompt optimization, and systematic prompt evaluation
• Ability to generate structured and deterministic outputs for downstream consumption
• Apply grounding, response validation, and hallucination mitigation techniques
Multi Agent Orchestration & LangGraph (Must Have)
• Strong hands on experience designing and implementing multi agent AI systems
• Practical experience working with agent orchestration frameworks, specifically LangGraph
• Design and implement:
o Orchestrator / supervisor agent patterns
o Intent routing, task decomposition, and agent sequencing
o Dependency management and agent handoffs
• Implement tool calling patterns, shared context management, and output aggregation across agents
• Experience managing agent state, memory, and execution flow in production environments
Retrieval Augmented Generation (RAG)
• Build and optimize RAG pipelines across large unstructured datasets
• Hands on experience with:
o Embedding strategies
o Vector databases and semantic search
o Chunking, ranking, and metadata based retrieval
• Ensure responses are traceable, explainable, and source grounded
AI Application Engineering
• Strong backend engineering skills using Python
• Design modular, API first AI services using scalable architectures
• Integrate AI services with external systems and tools via secure APIs
• Efficient handling of long running agent workflows and asynchronous execution
Cloud Native AI & Platform Skills
• Experience deploying AI solutions on cloud native platforms
• Familiarity with:
o Containerized AI workloads
o CI/CD pipelines for AI and agent services
o Scalable, fault tolerant system design
• Experience managing structured and unstructured data storage for AI workloads
AI Governance, Security & Reliability
• Implement guardrails and safety controls, including:
o Prompt injection prevention
o Access control and role based execution
o Output validation and policy enforcement
• Support observability for:
o Agent behavior and execution flow
o Confidence scoring and failure detection
o Usage patterns and anomaly detection
• Design AI systems that are auditable, explainable, and enterprise ready
Collaboration & Technical Leadership
• Provide technical leadership across AI and GenAI initiatives
• Review AI designs, orchestration flows, and implementation quality
• Mentor junior AI engineers on agent design and best practices
• Collaborate with architects, data scientists, and platform engineers
Required Qualifications
• Strong experience as a Senior AI / GenAI Engineer
• Proven, hands on experience with multi agent orchestration using LangGraph
• Advanced knowledge of:
o LLMs and agentic AI systems
o RAG architectures
o Python based AI development
• Experience delivering production grade AI systems, not just experiments
Preferred Qualifications
• Experience designing large scale agent based platforms
• Exposure to LLMOps / MLOps practices
• Familiarity with model and agent evaluation techniques
• Experience working in regulated or security sensitive environments
Salary Range: $150,000-$170,000 a year
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 & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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