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Design expert responsible for creating end-to-end solution architectures that integrate agentic AI with enterprise systems and complex business processes. This role involves leading the conceptualization, design, and implementation of advanced AI-driven systems that interact autonomously across multiple functions and platforms within an enterprise setting. The architect will bridge business needs with technical execution, ensuring scalable, secure, and high-performing solutions.
Job Responsibility:
Design enterprise-grade agentic AI solutions
Create integration strategies with existing systems
Define multi-agent communication patterns
Establish security and governance models
Conduct technology assessments and recommendations
Create technical documentation and standards
Support pre-sales and client technical engagements
Requirements:
Expert knowledge of enterprise integration patterns
Hands-on experience designing and implementing solutions using agentic frameworks (LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel)
Proficiency in working with vector stores and Retrieval-Augmented Generation (RAG) models
Experience designing AI systems on cloud platforms (Azure, AWS, GCP) with capabilities for hybrid deployments
Ability to align solution architecture with business and enterprise architecture using methodologies such as TOGAF
Strong knowledge in designing RESTful, GraphQL, and gRPC APIs, and applying microservices architecture principles
Understanding of enterprise-grade security requirements, including encryption, identity and access management (IAM), SOC2/GDPR compliance
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