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Judi Health

Unified claims processing for health benefits

Forward Deployed Engineer

AI Application EngineeringPosted on Nov 11
Full-timeNew York, NY, USA$127.6k - $159.5k

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, or another technically rigorous discipline is required; an equivalent combination of education and relevant experience may be considered.
  • One to three years of experience across technology consulting, solutions engineering, applied AI, automation, business technology, software development, or a related field.
  • Demonstrated experience translating business needs into technical solutions and delivering defined work from requirements gathering through implementation in a business-facing environment.
  • Strong hands-on experience building with large language models, AI agents, workflow automation, AI-assisted development tools, or API-based integrations.
  • Proficiency in at least one programming or scripting language, such as Python or JavaScript/TypeScript, and familiarity with modern development practices including version control and testing.
  • Working knowledge of large language models, prompt engineering, retrieval-augmented generation, agent frameworks, and agentic coding tools, with the judgment to evaluate and validate AI-generated outputs.
  • Knowledge of APIs, data integration, cloud platforms, and automation tools, with the ability to connect solutions to enterprise systems and data sources.
  • Understanding of business process analysis, solution design, and change adoption, along with security, data privacy, compliance, and responsible AI principles.
  • Strong systems analysis and problem-solving skills, with the ability to structure ambiguous business problems and design practical, scalable solutions.
  • Sound business judgment and the ability to independently manage defined use cases while escalating unfamiliar, high-risk, or architecturally significant decisions.
  • Strong communication and consulting skills, including the ability to explain technical concepts to non-technical stakeholders and build trusted cross-functional partnerships.
  • Ability to manage multiple priorities, contribute effectively to complex team initiatives, document work clearly, and continuously learn in a fast-changing AI environment.

Responsibilities

  • Partner with business leaders and stakeholders to identify high-value opportunities, analyze workflows and pain points, and translate business needs into technical requirements and scalable solution designs for AI agents, automations, integrations, and internal applications.
  • Independently own defined low- and medium-complexity use cases from discovery through design, development, testing, implementation, and adoption, with guidance available for unfamiliar, high-risk, or technically complex decisions.
  • Partner with senior team members and the broader team on the organization's most complex use cases, contributing technical expertise, business judgment, and implementation support, and leading defined workstreams or components within larger initiatives.
  • Use AI agents and agentic coding tools to accelerate analysis and development, while critically evaluating outputs and applying appropriate standards for security, data privacy, quality, maintainability, and documentation.
  • Design solutions for scalability and reuse, identifying how capabilities could extend to other functions, support broader enterprise needs, or evolve into client-facing products.
  • Support implementation, stakeholder enablement, user adoption, and value measurement; partner with the AI Deployment Engineer and relevant technology teams on production deployment, integrations, monitoring, and enterprise controls.
  • Ensure solutions comply with enterprise security, privacy, compliance, and responsible AI standards; establish appropriate testing practices and proactively identify technical, operational, and adoption risks.
  • Evaluate emerging AI tools and delivery practices, contribute reusable components and lessons learned to the team's shared toolkit, and provide peer support to analysts and interns.

Desired Qualifications

  • Experience in healthcare, pharmacy benefit management, or another regulated industry is preferred, but not required.

About the Company

Judi Health

Unified claims processing for health benefits

Judi Health is a New York health tech and benefits administrator serving employers, unions, health plans, and government entities, with three brands: Judi Rx, a transparent pass-through PBM; Judi Care, which handles medical, dental, and vision benefits and care navigation; and Judi Cloud, which licenses the platform to health plans and TPAs. Its core product is the Judi platform, a Unified Claims Processing system that brings pharmacy and medical claims onto a single cloud with AI-enabled workflows to adjudicate benefits. The company differentiates itself with price transparency through flat fees and a single, unified platform that reduces fragmentation, pursuing growth without acquisitions. Its goal is to simplify and lower the cost of health benefits administration and scale across commercial, Medicare, and Medicaid by licensing the platform and offering care services.

Company size
501-1,000
Company stage
Series F
Total funding
$585M
Headquarters
New York City, New York
Founded
2017

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