Principal Agentic AI Architect• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.• 12+ years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.• Proven experience architecting and delivering large-scale AI solutions, Agentic AI systems, AI platforms, or multi-agent frameworks in enterprise environments.• Deep understanding of the Agentic AI ecosystem including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.• Hands-on expertise building AI applications using frameworks and platforms such as Google ADK, LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar agentic frameworks.• Strong experience designing scalable orchestration layers, tool libraries, context management frameworks, observability solutions, and governance controls for AI systems.• Expertise in Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise knowledge systems, and document intelligence platforms.• Experience designing extensible and reusable AI platform architectures capable of supporting multiple business use cases and domains.• Strong software engineering background in cloud-native architectures, distributed systems, APIs, microservices, and platform engineering.• Deep understanding of AI observability, monitoring, evaluation frameworks, model governance, security, and responsible AI principles.• Exceptional communication and stakeholder management skills with the ability to influence senior technology leaders and architects.Strong understanding of Agile, Waterfall, and Hybrid delivery methodologies.
