
Enterprise AI Strategist
13 hours ago
About the Role
We are seeking a skilled AI Architect to lead our end-to-end architecture, design, and strategic enablement of enterprise-grade GenAI platforms. As an AI Architect, you will be responsible for designing scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns that enable intelligent, governed, and reusable agent ecosystems.
Key Responsibilities
- Architect and govern the design of scalable, modular AI agent frameworks (Agent Mesh, Orchestrator, Memory, Canvas) for enterprise-wide reuse
- Define event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to enable intelligent, context-aware workflows
- Drive platform integration across GenAI platforms to ensure consistency in observability, security, and orchestration patterns
- Develop reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to accelerate use case onboarding across domains
- Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents
- Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product release
Requirements
To succeed in this role, you will need:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents
- Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms
- Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management
- Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks
- Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders
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