
Innovative AI Architect Wanted
20 hours ago
We are seeking a seasoned AI Architect to lead the design of modular AI agent frameworks for enterprise-wide reuse.
This critical role defines scalable, event-driven agent orchestration frameworks to enable context-aware workflows across commercial, reporting, and enterprise automation use cases.
Key Responsibilities:
- Agent Framework Design: Architect and govern the design of modular AI agent frameworks for enterprise-wide reuse.
- Orchestration Patterns: Define event-driven orchestration and agentic execution patterns to enable context-aware workflows.
- Platform Integration: Drive platform integration across platforms for consistency in observability, security, and orchestration patterns.
- Reusable Agent Templates: Develop reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding across domains.
- Architecture Standards: Establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents.
- Technical Architecture Planning: Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product release.
Requirements:
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents.
- Skills: Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms.
- Technology Skills: Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management.
- Hands-on Experience: Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks.
- Leadership: Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams.
- Communication Skills: Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.
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