Forward Deployed Engineer

About Judi Health Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels. At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health . Location: New York City, NY (hybrid) Position Summary The Forward Deployed Engineer is a developing-to-proficient technical professional who partners directly with business teams to design, build, and deliver AI agents, automations, integrations, and internal applications that solve operational problems. The role independently owns defined low- and medium-complexity use cases with guidance available for unfamiliar, high-risk, or technically complex decisions, and contributes technical expertise and business judgment to the organization's most complex initiatives. The Forward Deployed Engineer applies strong capabilities across applied AI, business technology, automation, and solution delivery to translate business needs into scalable, secure, and reusable solutions. The role works with senior team members and the AI Deployment Engineer to support production readiness and controlled deployment, while considering how each solution could serve additional functions or evolve into a client-facing capability. Position Responsibilities: • Business Partnership and Solution Design: 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. • End-to-End Use Case Ownership: 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. • Complex Initiative Contribution: 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. • AI-Accelerated Development: 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. • Scalability and Enterprise Value: Design solutions for scalability and reuse, identifying how capabilities could extend to other functions, support broader enterprise needs, or evolve into client-facing products. • Implementation and Adoption: 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. • Quality, Governance, and Risk: Ensure solutions comply with enterprise security, privacy, compliance, and responsible AI standards; establish appropriate testing practices and proactively identify technical, operational, and adoption risks. • Continuous Improvement and Knowledge Sharing: 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. Required Qualifications: Education and Experience Requirements • Bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, or another technically rigorous discipline required; an equivalent combination of education and relevant experience may be considered. • 1-3 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. • Experience in healthcare, pharmacy benefit management, or another regulated industry is preferred, but not required. Knowledge, Skills, and Abilities • 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 LLMs, 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 d