Lead GenAI Engineer

Overview
Client is seeking a hands-on senior GenAI engineering leader to design and build a stateful, headless GenAI application that enables commercial marketers to create grounded and personalized content. The solution will orchestrate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints for downstream platforms.
This role requires strong architectural leadership combined with hands-on implementation. The selected consultant will propose the application architecture, make key technical decisions, establish engineering patterns, review technical work, and build critical production components.

Core Responsibilities
• Design and build a stateful, multi-agent GenAI application that supports personalized and grounded content generation.
• Architect and implement conversational and project state management, multi-turn interactions, memory, clarification workflows, and agent orchestration.
• Develop headless, API-first services that generate structured JSON or HTML outputs for downstream content assembly platforms.
• Integrate GenAI applications with enterprise platforms, data services, and content repositories.
• Establish technical architecture, coding standards, structured contracts, and key engineering patterns.
• Build production-grade components and conduct technical reviews of other engineers’ work.
• Implement observability, evaluation frameworks, grounding strategies, error handling, and production monitoring capabilities.
• Develop streaming GenAI experiences that support conversation history, structured responses, and reusable outputs.

Essential Qualifications, Skills, and Technologies
• Significant hands-on experience architecting and building production GenAI applications.
• Strong software engineering experience using Python or TypeScript, including microservices architecture.
• Experience designing and implementing stateful, multi-turn, and multi-agent orchestration systems.
• Strong experience with API-first architecture and structured-contract design.
• Experience building headless services that produce structured outputs for downstream applications.
• Experience integrating GenAI applications with enterprise platforms, data services, and content repositories.
• Experience with RAG, grounding, application state, memory management, evaluations, and production observability.
• Experience building streaming, multi-turn GenAI interfaces with conversation history, clarification flows, and robust error handling.
• Experience rendering structured responses, including tables, charts, citations, and reusable results.
• Ability to propose architecture, make technical decisions, establish coding patterns, review engineering work, and develop production code.
• Strong experience with AWS, Amazon Bedrock, and AgentCore.

Preferred Skills or Experience
• Experience with content generation, content-as-code, personalization platforms, or marketing technology ecosystems.
• Experience working with Workfront, Veeva Vault PromoMats, AEM Assets, or comparable enterprise content management systems.
• Experience in commercial pharmaceutical environments or other regulated content domains.

Work Details
• Bay Area preferred, with the ability to work from the office 1–2 days per week.
• Candidates outside the Bay Area must be able to provide 4–6 hours of daily overlap with Pacific Time.

Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.