Agentic AI Architect

Trailblaze Careerpaths Global

About the Role:

Were looking for a seasoned AI Architect to lead the design and implementation of agentic AI systems that push the boundaries of autonomous reasoning, multi-agent collaboration, and intelligent orchestration. You ll work with cutting-edge frameworks, cloud-native architectures, and enterprise-grade AI platforms to deliver scalable, secure, and high-performance solutions.

Key Responsibilities
Architect and implement agentic AI systems using frameworks like LangChain, CrewAI, LangGraph, LlamaIndex

Integrate Camel AI for intelligent message routing, event-driven orchestration, and agent communication

Design modular, cloud-native architectures (AWS/Azure) with microservices & containerization (Docker, Kubernetes)

Enable multi-agent collaboration via MCP (Model Context Protocol) & A2A (Agent-to-Agent) communication

Lead backend orchestration using Python, Node.js, or Java (Camel DSL)

Collaborate with frontend teams forseamless REST/gRPC API integration

Optimize system performance, scalability, and maintainability

Mentor engineering teams & define best practices for agentic workflows

Required Skills:

Deep understanding of agentic AI principles: autonomous reasoning, memory management, tool use, multi-step planning

Hands-on experience with Camel AI or Apache Camel for routing, mediation, and integration

Proficiency in LLM orchestration tools (LangChain, AutoGen, MetaGPT, etc.)

Strong grasp of event-driven architecture & containerized deployments (ECS/EKS)

Experience with secure API design, RBAC, OAuth, and identity management
Familiarity with frontend-backend integration in SaaS environments (React, Next.js, Vue.js)

Preferred Qualifications:

Exposure to Retrieval-Augmented Generation (RAG) & multimodal AI systems
Experience with plugin/tool execution pipelines (e.g., ReAct pattern)
Knowledge of vector stores, episodic memory, and context-aware agent design

Prior work in enterprise-grade AI platforms or intelligent task management systems