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

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

Credence

Mid-Level AI Software Engineer

Mclean, VA

Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off (Vacation, Sick & Public Holidays)

Promise

Software Engineer - AI

Washington, DC · Remote

$150K - $215K/yr

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 ...

InterImage

Software Engineer

Arlington, VA · Remote

Gain hands-on exposure to cutting-edge Generative AI capabilities and real-world applications ... insurance provided, additional voluntary life insurance available InterImage is an Equal ...

InterImage

Software Engineer

Arlington, VA · On-site +1

Gain hands-on exposure to cutting-edge Generative AI capabilities and real-world applications ... insurance provided, additional voluntary life insurance available InterImage is an Equal ...

Goodwin

Sr. AI Developer

Washington, DC

$61.75 - $81.50/hr

Develop and integrate Generative AI (GenAI) applications, leveraging AI and machine learning ... Health, dental, and vision insurance * Life and disability insurance * Retirement & Savings Plan

Dynamo AI

Account Executive, Federal

Washington, DC · On-site

... generative and agentic AI systems - ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government. We're backed by ...

APA

Content Automation Specialist

Washington, DC · On-site

$40 - $62.05/hr

Demonstrated experience with rule-based and/or generative AI-based technologies in indexing and ... dental, and vision insurance options and an outpatient mental health benefit; paid personal ...

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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.
Mid-Level AI Software Engineer

Mid-Level AI Software Engineer

Credence

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
Credence has an immediate need for a Mid-Level AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.
Responsibilities include, but are not limited to the duties listed below
Generative AI & LLM Usage
  • Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities.

Agentic AI System Development
  • Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents.

AI Software Engineer
  • Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows.

Collaborative Engineering
  • Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems.

Cloud Enablement
  • Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.

Production Monitoring & Optimization
  • Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.

Technical Rigor & Documentation
  • Write clean, well-documented code following industry and federal guidelines; support reproducible development.

Professional Growth
  • Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.

Requirements
  • U.S. Citizenship with eligibility for DoD Secret clearance.
  • Bachelor's or Master's in Computer Science, AI/ML, or a related field.
  • 3-5 years of hands-on experience delivering AI/ML solutions.
  • Experience in generative AI, working with LLMs, and adding tool calls (MCP)
  • Experience with agentic frameworks such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
  • Deep understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex
  • Proficiency in Typescript familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite)
  • Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
  • Experience deploying applications using cloud platforms (AWS) and container tools (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines (GitLab CI)
  • Experience with VS Code and AI extensions such as Cline and Claude Code.
  • Strong communication skills and client-oriented mindset.

Preferred
  • Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
  • Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
  • Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
  • Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Why This Role Matters
  • Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
  • Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.
  • Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

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