Agentic AI Architect
Core
Design foundational architecture and engineering blueprints for next-generation AI agent ecosystems, translating strategic objectives into scalable technical designs for supply chain optimization and intelligent automation.
Role type
Principal Agentic AI Architect
Builds
Enterprise-grade agentic AI systems, multi-agent ecosystems, and AI agent prototypes
Domain
IT Distribution / Agentic AI / Large Language Models
Deliverable
production ML models
Required skills
Agentic AI system architecture, LLM-driven autonomy design, distributed systems engineering, MLOps/LLMOps, data architecture, cloud platform design, Python, software design patterns
Preferred skills
Multi-agent systems (MAS) architecture, reinforcement learning (RL), simulation environments for agent testing, security architecture for autonomous systems
Technologies
LangChain, AutoGen, CrewAI, LlamaIndex, Microsoft Semantic Kernel, Vertex AI, GPT series, Claude, Gemini, Llama, TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, GCP, AWS, Azure
Responsibilities
Lead end-to-end reference architecture for agentic AI systems; develop architectural blueprints and standards; design core components like reasoning engines and memory systems; drive technical evaluation of frameworks; lead prototype development; mentor engineers; establish engineering best practices and governance; collaborate with cross-functional teams.
Seniority
Principal, hands-on IC with strategic guidance