Position Responsibilities
Lead Complex AI Use Cases: Lead the most complex and high-impact AI initiatives, particularly those spanning multiple functions, workflows, systems, or data sources; determine the solution approach, scope, priorities, and sequencing, and own outcomes from discovery through implementation.
Senior Stakeholder Partnership: Serve as a trusted advisor to senior business and technology leaders, structure ambiguous business challenges, evaluate trade-offs, and recommend scalable solutions tied to measurable outcomes and long-term enterprise value.
Agentic Solution Design and Development: Architect and build AI solutions using AI agents, LLMs, retrieval-augmented generation, orchestration frameworks, and agentic coding tools; select appropriate technologies and critically evaluate AI-generated outputs.
Technical Direction and Production Readiness: Set technical direction for solution design and partner closely with the AI Deployment Engineer and relevant technology teams to meet production-readiness requirements, including performance, scalability, observability, security, compliance, supportability, and operational ownership.
Reusable Patterns and Enterprise Value: Establish reusable solution patterns, frameworks, components, and practices that accelerate future delivery; identify opportunities for internal capabilities to scale across the company or contribute to future client-facing products.
Value Realization: Define success measures, assess adoption and business impact, and recommend enhancements or course corrections to maximize the long-term value of deployed solutions.
Risk and Governance: Identify and mitigate technical, data privacy, security, compliance, and responsible AI risks, ensuring solutions align with enterprise standards and applicable regulatory requirements.
Mentorship and Team Standards: Mentor interns, analysts, and associate forward deployed engineers through design reviews, code reviews, and hands-on guidance; raise team standards and lead workstreams without formal people-management responsibility.
Technology Evaluation and Continuous Improvement: Evaluate emerging AI technologies, agentic frameworks, and delivery practices, and use findings to improve the team's technical standards, shared toolkit, and delivery approach.
Required Qualifications
Education and Experience
Bachelor's degree in Engineering, Computer Science, Information Technology, Data Science, or another technically rigorous discipline required; an equivalent combination of education and relevant experience may be considered.
5-8 years of progressive experience across technology consulting, solutions engineering, applied AI, automation, product development, business technology, or software engineering.
Demonstrated experience leading complex, cross-functional technical initiatives from problem definition through implementation and production readiness.
Advanced hands-on experience building solutions with LLMs, AI agents, retrieval-augmented generation, agentic frameworks, automation, or API-based integrations.
Experience partnering directly with senior business and technology stakeholders in an internal consulting, client-facing, or business technology capacity.
Experience in healthcare, pharmacy benefit management, or another regulated industry is preferred, but not required.
Knowledge, Skills and Abilities
Advanced knowledge of generative AI and applied AI concepts, including large language models, prompt design, retrieval-augmented generation, AI agents, orchestration, and solution evaluation.
Advanced hands-on capability in one or more programming or scripting languages, such as Python, TypeScript, or Java, together with agentic coding tools, APIs, cloud platforms, and modern development practices.
Strong knowledge of systems integration, enterprise solution design, and production-readiness considerations, including security, observability, scalability, maintainability, and supportability.
Working knowledge of responsible AI, data privacy, information security, compliance, and regulatory requirements applicable to enterprise AI solutions.
Ability to translate ambiguous business problems into structured technical solutions and make sound decisions with significant business impact.
Strong consulting, communication, and presentation skills, with the ability to influence senior leaders and explain complex technical concepts to non-technical audiences.
Demonstrated ability to set technical direction, establish practical delivery standards, and create reusable solution patterns.
Ability to mentor and develop less experienced team members and lead workstreams without direct authority.
Strong analytical, problem-solving, and critical-thinking skills, with a focus on measurable business outcomes, scalability, and long-term enterprise value.
Ability to manage multiple complex priorities in a fast-changing environment while maintaining high standards for quality, security, governance, and delivery.
New York, NY Salary Range
$180,400—$225,500 USD
All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
