Staff Forward Deployed Engineer

Location: New York City, NY (hybrid)
Position Summary

The Staff Forward Deployed Engineer is a senior individual contributor who leads the company's most complex, high-impact AI use cases from discovery through implementation. Working with a high degree of autonomy, the role partners with senior business and technology leaders to translate ambiguous, cross-functional problems into scalable AI solutions with measurable business outcomes. The Senior FDE designs and builds solutions using AI agents, large language models, and agentic coding tools; sets technical direction for solution design and readiness; and establishes reusable patterns that can scale across the enterprise or contribute to future client-facing products. The role provides technical leadership and mentorship to interns, analysts, and associate forward deployed engineers without formal people-management responsibility.
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.