Agent Architect – Agentic Systems
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ABOUT XENONSTACK<\/b>
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XenonStack is the fastest\-growing <\/span>Data and AI Foundry for Agentic Systems<\/b>, enabling people and organizations to gain <\/span>real\-time and intelligent business insights<\/b>. We deliver innovation through: Agentic Systems for AI Agents<\/b> <\/span>→ <\/span>akira.ai<\/span><\/a><\/p><\/li> Vision AI Platform<\/b> <\/span>→ <\/span>xenonstack.ai<\/span><\/a><\/p><\/li> Inference AI Infrastructure for Agentic Systems<\/b> <\/span>→ <\/span>nexastack.ai<\/span><\/a><\/p><\/li><\/ul> Our mission is to accelerate the world\u2019s transition to <\/span>AI + Human Intelligence<\/b> <\/span>by designing, deploying, and scaling <\/span>enterprise\-grade AI agents<\/b> <\/span>that are <\/span>trustworthy, explainable, and production\-ready<\/b>. We are seeking an <\/span>Agent Architect<\/b> <\/span>to design and lead the <\/span>architecture of multi\-agent systems<\/b>, enabling enterprises to adopt <\/span>Agentic AI at scale<\/b>. This role goes beyond traditional software or ML architecture \u2014 you will define how <\/span>LLMs, tools, memory, and orchestration frameworks<\/b> <\/span>come together to form <\/span>reliable, adaptive, and compliant AI agents<\/b>. If you are passionate about <\/span>system design, orchestration, and Responsible AI<\/b>, this role is your opportunity to shape the foundation of the <\/span>AgentOps ecosystem<\/b>. Architecture Design<\/b> Define <\/span>blueprints for agent workflows<\/b>, including reasoning loops, tool integration, memory systems, and multi\-agent orchestration. Architect <\/span>scalable, modular, and extensible agentic systems<\/b> <\/span>aligned with enterprise needs. Context & Memory Orchestration<\/b> Design <\/span>context pipelines<\/b> <\/span>using RAG, knowledge graphs, APIs, and multi\-tiered memory (short\-term, episodic, long\-term). Ensure efficient <\/span>token management and context allocation<\/b> <\/span>for reliability and cost efficiency. Integration & Ecosystem<\/b> Build frameworks to connect <\/span>LLMs, APIs, enterprise data sources, and observability layers<\/b>. Collaborate with <\/span>AgentOps Engineers<\/b> <\/span>to ensure smooth deployment and monitoring. Reliability & Governance<\/b> Implement guardrails for <\/span>safety, compliance, and brand alignment<\/b>. Ensure architectures meet <\/span>Responsible AI and governance standards<\/b>. Innovation & Strategy<\/b> Stay ahead of <\/span>emerging frameworks (LangGraph, MCP, AgentBridge, A2A messaging)<\/b> <\/span>and incorporate them into architecture strategy. Partner with product managers and executives to <\/span>align agent design with enterprise workflows and outcomes<\/b>. Leadership & Mentorship<\/b> Guide <\/span>AI engineers, AgentOps specialists, and product teams<\/b> <\/span>in best practices for agent design. Mentor teams on <\/span>evaluating trade\-offs<\/b> <\/span>between accuracy, cost, latency, and compliance. Must\-Have<\/b> 6\u201310 years in <\/span>AI/ML engineering, systems architecture, or enterprise software design<\/b>. Deep knowledge of <\/span>LLM architectures, orchestration frameworks (LangChain, LangGraph, LlamaIndex), and agent design patterns<\/b>. Strong understanding of <\/span>context engineering, RAG pipelines, and vector/knowledge databases<\/b>. Experience with <\/span>multi\-agent orchestration frameworks<\/b> <\/span>(MCP, A2A messaging, AgentBridge). Proficiency in <\/span>Python<\/b> <\/span>and AI development stacks. Familiarity with <\/span>cloud\-native architecture (AWS, GCP, Azure)<\/b> <\/span>and container orchestration (Kubernetes, Docker). Solid understanding of <\/span>Responsible AI frameworks<\/b> <\/span>and compliance\-driven system design. Good\-to\-Have<\/b> Background in <\/span>Reinforcement Learning (RLHF, RLAIF, reward modeling)<\/b>. Experience in <\/span>enterprise\-scale deployments in BFSI, GRC, SOC, or FinOps<\/b>. Prior experience as a <\/span>Solutions Architect, AI Architect, or Technical Lead<\/b>. Contributions to <\/span>open\-source frameworks<\/b> <\/span>in multi\-agent systems or LLM orchestration. <\/p> <\/p><\/li> <\/p> <\/p><\/li> <\/p> <\/p><\/li> <\/p> <\/p><\/li> <\/p> <\/p><\/li> <\/p> <\/p><\/li> <\/p> <\/p><\/li><\/ol> At XenonStack, we believe in <\/span>shaping the future of intelligent systems<\/b>. We foster a <\/span>culture of cultivation<\/b> <\/span>built on bold, human\-centric leadership principles, where <\/span>deep work, simplicity, and adoption<\/b> <\/span>define everything we do. Our Cultural Values<\/b>
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<\/p>THE OPPORTUNITY<\/b>
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<\/p>KEY RESPONSIBILITIES<\/b>
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<\/p><\/li><\/ul><\/li><\/ul>SKILLS & QUALIFICATIONS<\/b>
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<\/p><\/li><\/ul>WHY SHOULD YOU JOIN US?<\/b>
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<\/div>XENONSTACK CULTURE \u2013 JOIN US & MAKE AN IMPACT!<\/b>
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