Lead GenAI Engineer

Lead GenAI Engineer (Contract) Agentic AI Architecture, Multi-Agent Orchestration & Content Intelligence
Are you a senior-level AI engineer who enjoys designing systems from the ground up while staying hands-on with development? We are seeking a Lead GenAI Engineer to architect and build a next-generation, stateful Generative AI platform that helps commercial teams create personalized, evidence-based content at scale.

This is a highly technical leadership role for an experienced engineer who can define architecture, establish engineering standards, make key technical decisions, and develop critical components. The ideal candidate combines deep expertise in Generative AI, multi-agent orchestration, cloud-native architectures, and enterprise application development with a strong track record of delivering production-ready solutions.
What You'll Do

• Design and build a stateful, headless GenAI application that supports personalized content creation workflows.
• Architect systems that coordinate multiple AI agents, enterprise services, and data sources.
• Implement multi-turn conversational experiences that maintain project context, application state, and user interactions over time.
• Develop services that generate structured JSON and HTML content blueprints for downstream platforms to assemble into final content assets.
• Lead the design of scalable API-first architectures, reusable service patterns, and structured data contracts.
• Build and optimize agent orchestration frameworks, including routing, state management, memory, and workflow coordination.
• Integrate AI services with enterprise platforms, content repositories, and data systems.
• Deliver AI-generated outputs including:
  • Structured content blueprints
  • Narrative responses
  • Tables and data visualizations
  • Citations and evidence references
  • Reusable content components
• Implement observability, evaluation, monitoring, grounding, and reliability controls for production AI systems.
• Review code, establish engineering best practices, and mentor other developers while remaining actively involved in coding and technical delivery.

Required Qualifications

• Significant hands-on experience architecting and building production Generative AI applications.
• Strong software engineering expertise with Python and/or TypeScript.
• Proven experience designing and deploying microservices-based architectures.
• Deep knowledge of:
  • Multi-agent systems
  • Agent orchestration
  • Stateful AI applications
  • Multi-turn conversational experiences
• Strong API design and structured contract development experience.
• Experience building headless platforms and services that generate structured outputs for downstream applications.
• Expertise integrating AI applications with enterprise platforms, content repositories, and data services.
• Hands-on experience with:
  • Retrieval-Augmented Generation (RAG)
  • Grounding techniques
  • Application state and memory management
  • AI evaluations and testing
  • Production observability and monitoring
• Experience developing streaming AI experiences with:
  • Clarification workflows
  • Conversation history
  • Error handling
  • Real-time responses
• Experience rendering structured outputs including tables, charts, citations, and reusable results.
• Demonstrated ability to define architecture, make technical decisions, establish coding standards, review engineering work, and deliver production-quality code.
• Strong experience with:
  • AWS
  • Amazon Bedrock
  • AgentCore

Preferred Qualifications

• Experience building AI-driven content generation and content-as-code solutions.
• Background in personalization engines, marketing technology platforms, or AI-powered content workflows.
• Familiarity with enterprise content ecosystems such as:
  • Workfront
  • Veeva Vault PromoMats
  • Adobe Experience Manager (AEM) Assets
  • Comparable content management platforms
• Experience working in regulated industries with structured content review and approval processes.
• Knowledge of commercial life sciences, healthcare, financial services, or other highly regulated environments.

Location & Work Arrangement

• San Francisco Bay Area candidates preferred, with the ability to work onsite 1-2 days per week.
• Candidates outside the Bay Area must provide 4-6 hours of daily overlap with Pacific Time business hours.

Why This Opportunity?
This role offers the chance to architect and build a sophisticated enterprise GenAI platform that combines agentic AI, multi-agent orchestration, RAG, content generation, personalization, and cloud-native services. You'll have direct influence over technical strategy while remaining deeply involved in designing and delivering innovative AI solutions that drive real business impact.

Keywords: Lead GenAI Engineer, Senior AI Engineer, Generative AI Architect, Agentic AI, Multi-Agent Systems, AI Platform Engineer, Python Engineer, TypeScript Engineer, AWS Bedrock, AgentCore, RAG Engineer, AI Orchestration, Enterprise AI, Headless Architecture, Microservices, Content Generation, AI Applications, Contract Engineering Opportunity.