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Lead GenAI Engineer
Job Location:
Job Location:
South San Francisco, CA - USA
Hourly Salary:
USD 92 - 92
Hourly Salary:
Posted:
8 September 2026 (Yesterday)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Senior/Lead GenAI Application Architect
Location: South San Francisco CA (Hybrid)
Duration: 6 Months
Job Overview
We are seeking a Senior/Lead GenAI Engineer to design architect and build a production-grade stateful headless GenAI application for enterprise content creation and personalization. The platform will leverage agentic AI multi-agent orchestration RAG enterprise data and content services to help commercial marketers create grounded and personalized content. This is a hands-on engineering leadership role not a coordination-only position. The ideal candidate will define the architecture make key technical decisions establish development patterns review engineering work and personally develop critical production components.
Key Responsibilities
Required Qualifications
Preferred Qualifications
ZR
Location: South San Francisco CA (Hybrid)
Duration: 6 Months
Job Overview
We are seeking a Senior/Lead GenAI Engineer to design architect and build a production-grade stateful headless GenAI application for enterprise content creation and personalization. The platform will leverage agentic AI multi-agent orchestration RAG enterprise data and content services to help commercial marketers create grounded and personalized content. This is a hands-on engineering leadership role not a coordination-only position. The ideal candidate will define the architecture make key technical decisions establish development patterns review engineering work and personally develop critical production components.
Key Responsibilities
- Design and develop production-grade GenAI and agentic AI applications using modern LLM technologies.
- Architect stateful multi-turn multi-agent workflows with conversation history memory clarification flows and error handling.
- Build headless GenAI services that generate structured JSON/HTML content blueprints for downstream enterprise platforms.
- Develop scalable API-first microservices and structured contracts for GenAI applications.
- Implement RAG grounding memory evaluations and enterprise data integration.
- Integrate GenAI applications with enterprise platforms APIs data services and content repositories.
- Build streaming and interactive GenAI experiences supporting multi-turn conversations and real-time responses.
- Design mechanisms for rendering structured outputs including tables charts citations and reusable content components.
- Leverage AWS Amazon Bedrock and AgentCore to build and deploy enterprise GenAI solutions.
- Establish coding standards architectural patterns testing strategies and engineering best practices.
- Make key technical and architectural decisions and provide technical guidance to other engineers.
- Conduct code reviews and ensure production-quality scalable maintainable code.
- Implement production observability monitoring evaluation logging and error handling for GenAI applications.
- Collaborate with product data engineering and business stakeholders to translate requirements into scalable technical solutions.
Required Qualifications
- Strong hands-on experience architecting and developing production GenAI/LLM applications.
- Strong Python or TypeScript development experience.
- Experience with microservices REST APIs API-first architecture and structured contracts.
- Strong experience with Agentic AI and multi-agent orchestration.
- Experience developing stateful and multi-turn GenAI applications.
- Hands-on experience with RAG grounding memory evaluations and GenAI observability.
- Strong experience with AWS and Amazon Bedrock.
- Experience with Amazon Bedrock AgentCore.
- Experience integrating GenAI applications with enterprise systems data platforms and content repositories.
- Experience developing headless services that generate structured outputs such as JSON and HTML.
- Strong understanding of production software engineering testing deployment scalability and reliability.
- Ability to independently propose architecture make technical decisions and deliver production code.
- Strong communication and technical leadership skills.
Preferred Qualifications
- Experience with content generation content-as-code personalization or marketing technology platforms.
- Experience with Workfront Veeva Vault PromoMats AEM Assets or similar enterprise content management platforms.
- Experience working in commercial pharma or other regulated environments.
- Experience building enterprise applications involving content approval compliance governance or controlled workflows.
- Experience with cloud-native deployment CI/CD monitoring and production operations.
ZR
Why TalentBurst
At TalentBurst we deliver more than talent we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.
Backed by precision transparency and results we connect top talent with leading organizations through trusted partnerships.
We offer competitive compensation and comprehensive benefits including medical dental vision and retirement options.
TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.
Required Experience:
IC
