
Expert Generative AI Architect
1 day ago
Role Overview
We seek an expert to spearhead the development of cutting-edge Generative AI platforms. This role involves leading the architecture, design, and strategic enablement of enterprise-grade GenAI solutions.
This position defines scalable agent orchestration frameworks, modular templates, and integration patterns that facilitate intelligent, governed, and reusable agent ecosystems. It plays a pivotal role in accelerating the deployment of AI-driven solutions across various use cases.
- Design and govern the architecture of scalable, modular AI agent frameworks for enterprise-wide reuse.
- Develop event-driven orchestration and agentic execution patterns to enable context-aware workflows.
- Drive platform integration across multiple systems to ensure consistency in observability, security, and orchestration patterns.
- Create reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding across domains.
- Establish architecture standards to embed Responsible AI principles within GenAI agents.
- Lead technical architecture planning across delivery sprints and vendor integration tracks.
Qualifications and Skills
- 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 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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