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2 days ago
The Senior Technical Architect is pivotal in defining scalable frameworks for enterprise-wide reuse.
- Architect and govern the design of modular AI agent frameworks for reuse across domains.
- Define event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows.
- Drive platform integration to ensure consistency in observability, security, and orchestration patterns.
- Develop reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding.
- Establish architecture standards to embed Responsible AI, data privacy, and policy enforcement within GenAI agents.
- Lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product release.
This role requires a strong understanding of technologies such as vector databases, multimodal RAGs, event-driven systems, and memory management. Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks is also essential.
Requirements- 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.
- Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams.
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