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>.
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We deliver innovation through:
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  • 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>.
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    THE OPPORTUNITY<\/b>
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    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>.
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    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>.
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    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>.
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    KEY RESPONSIBILITIES<\/b>
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    • Architecture Design<\/b>
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      • Define <\/span>blueprints for agent workflows<\/b>, including reasoning loops, tool integration, memory systems, and multi\-agent orchestration.
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      • Architect <\/span>scalable, modular, and extensible agentic systems<\/b> <\/span>aligned with enterprise needs.
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      • Context & Memory Orchestration<\/b>
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        • Design <\/span>context pipelines<\/b> <\/span>using RAG, knowledge graphs, APIs, and multi\-tiered memory (short\-term, episodic, long\-term).
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        • Ensure efficient <\/span>token management and context allocation<\/b> <\/span>for reliability and cost efficiency.
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        • Integration & Ecosystem<\/b>
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          • Build frameworks to connect <\/span>LLMs, APIs, enterprise data sources, and observability layers<\/b>.
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          • Collaborate with <\/span>AgentOps Engineers<\/b> <\/span>to ensure smooth deployment and monitoring.
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          • Reliability & Governance<\/b>
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            • Implement guardrails for <\/span>safety, compliance, and brand alignment<\/b>.
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            • Ensure architectures meet <\/span>Responsible AI and governance standards<\/b>.
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            • Innovation & Strategy<\/b>
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              • Stay ahead of <\/span>emerging frameworks (LangGraph, MCP, AgentBridge, A2A messaging)<\/b> <\/span>and incorporate them into architecture strategy.
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              • Partner with product managers and executives to <\/span>align agent design with enterprise workflows and outcomes<\/b>.
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              • Leadership & Mentorship<\/b>
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                • Guide <\/span>AI engineers, AgentOps specialists, and product teams<\/b> <\/span>in best practices for agent design.
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                • Mentor teams on <\/span>evaluating trade\-offs<\/b> <\/span>between accuracy, cost, latency, and compliance.
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                  SKILLS & QUALIFICATIONS<\/b>
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                  Must\-Have<\/b>
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                  • 6\u201310 years in <\/span>AI/ML engineering, systems architecture, or enterprise software design<\/b>.
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                  • Deep knowledge of <\/span>LLM architectures, orchestration frameworks (LangChain, LangGraph, LlamaIndex), and agent design patterns<\/b>.
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                  • Strong understanding of <\/span>context engineering, RAG pipelines, and vector/knowledge databases<\/b>.
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                  • Experience with <\/span>multi\-agent orchestration frameworks<\/b> <\/span>(MCP, A2A messaging, AgentBridge).
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                  • Proficiency in <\/span>Python<\/b> <\/span>and AI development stacks.
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                  • Familiarity with <\/span>cloud\-native architecture (AWS, GCP, Azure)<\/b> <\/span>and container orchestration (Kubernetes, Docker).
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                  • Solid understanding of <\/span>Responsible AI frameworks<\/b> <\/span>and compliance\-driven system design.
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                    Good\-to\-Have<\/b>
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                    • Background in <\/span>Reinforcement Learning (RLHF, RLAIF, reward modeling)<\/b>.
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                    • Experience in <\/span>enterprise\-scale deployments in BFSI, GRC, SOC, or FinOps<\/b>.
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                    • Prior experience as a <\/span>Solutions Architect, AI Architect, or Technical Lead<\/b>.
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                    • Contributions to <\/span>open\-source frameworks<\/b> <\/span>in multi\-agent systems or LLM orchestration.
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                      WHY SHOULD YOU JOIN US?<\/b>
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                      1. <\/p>

                        Agentic AI Product Company<\/b>
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                        Design architectures that power <\/span>production\-grade AI agents<\/b> <\/span>for enterprises worldwide.
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                      2. <\/p>

                        A Fast\-Growing Category Leader<\/b>
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                        Be part of one of the fastest\-growing <\/span>AI Foundries<\/b>, delivering <\/span>Vision AI, AgentOps, and Inference Infrastructure<\/b>.
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                        Career Mobility & Growth<\/b>
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                        Progress into roles like <\/span>Principal Architect, Head of AgentOps, or CTO\-track leadership<\/b>.
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                        Global Exposure<\/b>
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                        Work on <\/span>enterprise\-scale agent architectures<\/b> <\/span>with Fortune 500 companies and regulated industries.
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                        Create Real Impact<\/b>
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                        Architect systems that directly influence <\/span>business\-critical decision\-making and automation<\/b>.
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                      6. <\/p>

                        Culture of Excellence<\/b>
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                        Our values \u2014 <\/span>Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession<\/b> <\/span>\u2014 give you freedom to innovate and accountability to lead.
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                      7. <\/p>

                        Responsible AI First<\/b>
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                        Shape frameworks ensuring agents are not just powerful, but also <\/span>trustworthy, safe, and explainable<\/b>.
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                        XENONSTACK CULTURE \u2013 JOIN US & MAKE AN IMPACT!<\/b>
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                        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.
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                        Our Cultural Values<\/b>
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                        • Agency<\/b> <\/span>\u2013 Be self\-directed and proactive.
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                        • Taste<\/b> <\/span>\u2013 Sweat the details and build with precision.
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                        • Ownership<\/b> <\/span>\u2013 Take responsibility for outcomes.
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                        • Mastery<\/b> <\/span>\u2013 Commit to continuous learning and growth.
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                        • Impatience<\/b> <\/span>\u2013 Move fast and embrace progress.
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                        • Customer Obsession<\/b> <\/span>\u2013 Always put the customer first.
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                          Our Product Philosophy<\/b>
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                          • Obsessed with Adoption<\/b> <\/span>\u2013 Making AI agents enterprise\-ready and accessible.
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                          • Obsessed with Simplicity<\/b> <\/span>\u2013 Turning complex orchestration into seamless, intuitive workflows.
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                            Be a part of our mission to <\/span>accelerate the world\u2019s transition to AI + Human Intelligence<\/b> <\/span>\u2014 by designing the <\/span>architectures that bring enterprise AI agents to life<\/b>
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                            Requirements<\/h3>

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