Director, Generative AI Experience Engineering
Tasks
- Build retrieval orchestration and agentic workflows
- Collaborate with clients on AI transformation technical strategy
- Define engineering roadmaps and communicate technical viability
- Design vector retrieval pipelines for LLM applications
- Develop conversational rendering and streaming UX systems
- Experiment with AI tooling and engineering methodologies
- Implement AI observability evaluations and guardrails
- Lead AI native experience platform architecture
- Lead and mentor engineering team and drive delivery standards
- Manage CI/CD and infrastructure as code
- Optimize AI workload deployment on cloud infrastructure
- Prototype proof of concepts and production accelerations
- Run discovery sessions workshops and architecture discussions
Perks/Benefits
Skills/Tech-stack
AI Observability | AWS | Agent systems | Anthropic Claude | Azure | CI/CD | Chunking | Claude Code | Cloud platform | Codex | Component architecture | Content Management | Content Management Systems | Context engineering | Cursor | DXP | Edge infrastructure | Edge rendering | Embeddings | Evals | Google Cloud | Google Cloud Platform | Google Gemini | GraphQL | Guardrails | Infrastructure as Code | MACH Architecture | Management systems | Martech | Microservices | Model Governance | Multi-Agent | Multi-Agent Systems | Next.js | Open Source | Open-source Models | OpenAI | Orchestration | Prompt engineering | RAG | REST APIs | React | Retrieval-Augmented Generation | Server components | Serverless | Streaming UX | Tool-Calling | Vector Databases | Vercel | “as-code”
Education
N/A
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