Job Description
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
Numbers & Facts
| Location | South San Francisco, CA |
| Industry | Staffing/Employment Agencies |
| Salary | $92–$92.83 Per Hour |
| Company Size | 5,000 to 9,999 employees |
| Year Founded | 2002 |
| Website | http://www.talentburst.com/ |
About Company
For over 20 years, TalentBurst Inc. has been an award-winning provider of cutting-edge Workforce Management Solutions. With a strong commitment to staying ahead in the tech landscape, we pioneer innovative approaches to talent acquisition. Our expertise spans Life Sciences, and Healthcare Staffing, Banking, Financial, IT, and Engineering, as well as Global Employer of Record (EOR), Agent of Record (AOR), State, Local Government and Education (SLED), and IC validation/compliance services. Additionally, our division, TalentProcure, leads the industry with offerings such as High Hazard Payroll, Managed Services, and Vendor on Premise (VOP) solutions.
Due to our prioritization of excellent standards, we are Joint Commission Certified and are a certified Minority Business Enterprise (MBE) in the USA and Canada. Supporting over 130 Fortune 500 companies globally, we excel in navigating the landscape of talent acquisition. In a world of constant change, we embrace developing people-centric solutions that address the unique demands of our clients. Stay connected by visiting our website and following us on social media!
Skills
- Amazon Web Services (AWS)unmatched
- Application Programming Interface (API)unmatched
- Architectural Designunmatched
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Biotech and Pharmaceuticalunmatched
- Blueprintsunmatched
- Cloud Computingunmatched
- Code Reviewsunmatched
- Coding Standardsunmatched
- Communication Skillsunmatched
- Content Developmentunmatched
- Content Managementunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Enterprise Applicationsunmatched
- Enterprise Data Integrationunmatched
- Error Handlingunmatched
- HTML (HyperText Markup Language)unmatched
- JSONunmatched
- Leadershipunmatched
- Marketingunmatched
- Memory Hardwareunmatched
- Microservicesunmatched
- Production Controlunmatched
- Python Programming/Scripting Languageunmatched
- REST (Representational State Transfer)unmatched
- Requirements Managementunmatched
- Scalable System Developmentunmatched
- Software Engineeringunmatched
- Software Testingunmatched
- Streaming Technologyunmatched
- Technical Deliveryunmatched
- Technical Leadershipunmatched
- Test Patternsunmatched
- Test Strategyunmatched
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