Lead GenAI Engineer
Listed on 2026-08-27
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Software Development
AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Backend Developer
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.
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.
- Significant hands-on experience architecting and building production Generative AI applications.
- Strong software engineering expertise with Python and/or Type Script.
- 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 Agent Core
- 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 Promo Mats 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.
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, Type Script Engineer, AWS Bedrock, Agent Core, RAG Engineer, AI Orchestration, Enterprise AI, Headless Architecture, Microservices, Content Generation, AI Applications, Contract Engineering Opportunity.
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