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1 day ago
This role is pivotal in developing GenAI platforms, including scalable agent orchestration frameworks and intelligent workflows.
">The key responsibilities include:
- Architecting AI agent frameworks for enterprise-wide reuse
- Defining event-driven orchestration and agentic execution patterns to enable intelligent workflows
- Driving platform integration across different systems to ensure consistency in observability, security, and orchestration patterns
- Developing reusable agent templates and context frameworks to accelerate use case onboarding across domains
- Establishing architecture standards to embed Responsible AI (RAI) and data privacy within GenAI agents
- Leading technical architecture planning across delivery sprints and vendor integration tracks
Required skills and qualifications include:
- 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 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
This position offers opportunities for career growth and professional development.
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