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Generative Ai Insurance Jobs in Reston, VA (NOW HIRING)

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Life and disability insurance, fully covered by the company * 401(k) retirement plan with 100 ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Life and disability insurance, fully covered by the company * 401(k) retirement plan with 100 ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI ... Life and disability insurance, fully covered by the company * 401(k) retirement plan with 100 ...

InterImage

AI/ML Software Developer

Arlington, VA · On-site

Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and ... insurance provided, additional voluntary life insurance available InterImage is an Equal ...

InterImage

AI/ML Software Developer

Arlington, VA · On-site

Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and ... insurance provided, additional voluntary life insurance available InterImage is an Equal ...

h2o.ai

Senior Sales Engineer

Washington, DC · On-site

Predictive, Generative, and Agentic AI * Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)

h2o.ai

Senior Sales Engineer

Washington, DC · On-site

Predictive, Generative, and Agentic AI * Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)

GEICO

Staff Engineer - Applied AI

Bethesda, MD · On-site

Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures. * Experience with insurance, financial ...

Geico

Staff Engineer - Applied AI

Bethesda, MD

Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures. * Experience with insurance, financial ...

Geico

Staff Engineer - Applied AI

Bethesda, MD

Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures. * Experience with insurance, financial ...

GEICO

Staff Engineer - Applied AI

Bethesda, MD · On-site

Experience building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures. * Experience with insurance, financial ...

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Showing results 1-20

All JobsGenerative Ai Insurance JobsGenerative Ai Insurance Jobs in Reston, VA

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 are popular job titles related to Generative Ai Insurance jobs in Reston, VA? For Generative Ai Insurance jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Insurance jobs in Reston, VA look for? The top searched job categories for Generative Ai Insurance jobs in Reston, VA are:
What cities near Reston, VA are hiring for Generative Ai Insurance jobs? Cities near Reston, VA with the most Generative Ai Insurance job openings:
Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Senior Generative AI Engineer

OpenDataJobs

Potomac, MD • On-site, Remote

$57.25 - $73.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.
The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.
Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.
Responsibilities
Client Delivery:
  • Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows
  • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement
  • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions
  • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding
  • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed

Firm Development:
  • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen the firm's AI capabilities and market position

Requirements
Core Technologies:
  • AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certification
  • Hands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS services
  • Python fluency including LangChain and AWS Strands; experience with vector databases and embedding workflows
  • Experience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architectures
  • Advanced SQL, cloud-native data pipeline management, and ETL workflows

Domain Expertise & Professional Skills:
  • Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environments
  • Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detection
  • Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption
  • Excellent written and oral communication skills; proven collaborator in professional or academic settings

Professional Experience:
  • Bachelor's required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred
  • 8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fields
  • Multi-modal AI experience (vision, document understanding, structured extraction)
  • Prior consulting, or client-services experience strongly preferred
  • Open-source contributions or published GenAI research preferred
  • Familiarity with OMB AI guidance and the NIST AI Risk Management Framework preferred
  • U.S. citizenship; ability to obtain a Public Trust suitability determination required

Benefits
Our client offers a comprehensive and competitive benefits package, including:
  • Full health coverage (medical, dental, and vision) with 100% of employee premiums covered
  • Life and disability insurance, fully covered by the company
  • 401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vesting
  • Unlimited Paid Time Off (PTO) to encourage work-life balance
  • Remote location but greater Washington, DC area preferred for hybrid engagement
  • Sponsored AWS certification training

Our client is an equal opportunity employer.

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