> Markdown version of [/jobs/ext/2165996-lead-genai-engineer-agentic-content-application-architecture-and-orchestration](https://www.wearedevelopers.com/jobs/ext/2165996-lead-genai-engineer-agentic-content-application-architecture-and-orchestration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Lead GenAI engineer: Agentic Content-Application Architecture and Orchestration

- **Company:** Mindsource Inc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Amazon Web Services, Data as a Services, Enterprise Content Management, Python (Programming Language), Software Engineering, Data Streaming, TypeScript, Multi-Agent Systems, Generative AI, Adobe Workfront, Production Code, Api Design, VeevaVault, Microservices
- **Published:** August 21, 2026
- **Apply:** https://www.dice.com/job-detail/39e0ffc5-d889-4a29-ab98-a20c8d911bb0

## About the Role

Significant hands-on experience architecting and building production GenAI

applications

Strong Python or TypeScript software engineering and microservices experience

Experience designing stateful, multi-turn and multi-agent orchestration

Strong API-first architecture and structured-contract design experience

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, evaluations and

production observability

Experience building streaming, multi-turn GenAI interfaces with clarification flows,

conversation history and error handling

Experience rendering structured responses, including tables, charts, citations and

reusable results

Ability to propose architecture, establish coding patterns, make technical decisions

and review other engineers'' work, and produce production code

Strong AWS, Amazon Bedrock and AgentCore experience

Preferred

Experience with content generation, content-as-code, personalization or

marketing-technology platforms

Experience with Workfront, Veeva Vault PromoMats, AEM Assets or comparable

enterprise content systems

Experience in commercial pharma or another regulated content environment



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