
Intelligent Agent Framework Architect
7 days ago
Job Description:
The Generative AI Architect is responsible for leading the end-to-end architecture, design, and strategic enablement of enterprise-grade GenAI platforms.
This role defines scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns that enable intelligent, governed, and reusable agent ecosystems. The position plays a pivotal role in accelerating the deployment of AI-driven solutions across commercial, reporting, and enterprise automation use cases.
- Define scalable, modular AI agent frameworks for enterprise-wide reuse
- Develop event-driven orchestration and agentic execution patterns 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 to accelerate use case onboarding across domains
- Establish architecture standards to embed Responsible AI within GenAI agents
- Lead technical architecture planning across delivery sprints and vendor integration tracks
Required Skills and Qualifications:
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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