Live opening · Posted 11 days ago
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Description supplied by the original job listing.
We are seeking a highly skilled and visionary AI Architect to design and lead the architecture of cutting-edge AI systems involving agent orchestration, LLM integration, and enterprise-scale deployment. You will play a pivotal role in selecting the right models, frameworks, and strategies to enable intelligent multi-agent ecosystems, integrating them seamlessly into existing enterprise environments.
Responsibilities:
Design the overall AI system architecture, focusing on agent orchestration, system integration, and end-to-end scalability.
Evaluate and select appropriate LLMs, orchestration frameworks, tools, and APIs aligned with use case complexity and enterprise constraints.
Architect knowledge management systems using RAG (Retrieval-Augmented Generation) and hybrid search patterns.
Enable plan-and-execute strategies and multi-agent coordination for complex task automation.
Ensure secure, cost-optimised design through API gateway integration, token and context-window budgeting, and resource utilisation planning.
Drive Gen AI threat modelling, safety tier design, and defences against adversarial prompts.
Collaborate with cross-functional teams to ensure seamless A2A (agent-to-agent) and tool-based orchestration.
Lead proofs-of-concept, technical assessments, and production readiness for agent-based applications.
Requirements:
Strong understanding of architecture patterns including knowledge management (RAG, hybrid search), agent design, and enterprise AI.
Hands-on expertise with LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vertex AI, and AI Refinery.
Proficiency in tools-as-agents, function calling, API integration, model context protocols (e. g., MCP), and A2A communication.
Experience with Gen AI safety design, including threat modelling and prompt protection strategies.
Knowledge of API gateway design, performance optimisation, cost-aware system architecture, and context budgeting.
Experience in working across cloud-native and hybrid environments with secure enterprise integration patterns.
Additional Information:
The candidate should have a minimum of 5 years of experience in Large Language Models.
A 15-year full-time education is required.
Experience
5-9 yrs
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