Solution Architect, Agentic Systems

XenonStack Moments; Vallecito 15-8 Hualtaco I; On-site; PEN 412,000 - 687,000; Full time

Job summary

XenonStack is seeking a Solution Architect, Agentic Systems to design and lead the architecture of multi-agent systems for enterprise clients at scale. You will define how LLMs, tools, memory, and orchestration frameworks come together to build reliable, adaptive AI agents that are scalable, secure, and governance-aligned across cloud, edge, and on-prem environments.

You'll mentor AI engineers and collaborate with product leaders to align agent design with business outcomes, security

Qualifications

• 6–10 years in AI/ML engineering, systems architecture, or enterprise software design.
• Deep knowledge of LLM architectures, orchestration frameworks (LangChain, LangGraph, LlamaIndex), and agent design patterns.
• Strong understanding of context engineering, RAG pipelines, and vector/knowledge databases.
• Experience with multi-agent orchestration frameworks (MCP, A2A messaging, AgentBridge).
• Proficiency in Python and AI development stacks.
• Familiarity with cloud-native architecture (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
• Solid understanding of Responsible AI frameworks and compliance-driven system design.

Responsibilities

• Architecture Design: Define blueprints for agent workflows, including reasoning loops, tool integration, memory systems, and multi-agent orchestration.
• Context & Memory Orchestration: Design context pipelines using RAG, knowledge graphs, APIs, and multi-tiered memory.
• Integration & Ecosystem: Build frameworks to connect LLMs, APIs, enterprise data sources, and observability layers.
• Reliability & Governance: Implement guardrails for safety, compliance, and brand alignment.
• Innovation & Strategy: Stay ahead of emerging frameworks and align architecture with enterprise workflows.
• Leadership & Mentorship: Guide engineers and product teams in best practices for agent design.

Skills

AI/ML engineering

Systems architecture

Enterprise software design

LLM architectures

Agent orchestration

Python

Cloud-native

Kubernetes

Docker

Responsible AI

Tools

LangChain

LangGraph

LlamaIndex

Kubernetes

Docker

AWS

Job description

About Xenonstack

XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.

We Build Enterprise-grade Platforms Across The Agentic Stack

• Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
• ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
• NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
• MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.

Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.

THE OPPORTUNITY

We are seeking an Solution Architect, Agentic Systems to design and lead the architecture of multi-agent systems, enabling enterprises to adopt Agentic AI at scale.

This role goes beyond traditional software or ML architecture — you will define how LLMs, tools, memory, and orchestration frameworks come together to form reliable, adaptive, and compliant AI agents.

If you are passionate about system design, orchestration, and Responsible AI, this role is your opportunity to shape the foundation of the AgentOps ecosystem.

Key Responsibilities

• Architecture Design
  • Define blueprints for agent workflows, including reasoning loops, tool integration, memory systems, and multi-agent orchestration.
  • Architect scalable, modular, and extensible agentic systems aligned with enterprise needs.
• Context & Memory Orchestration
  • Design context pipelines using RAG, knowledge graphs, APIs, and multi-tiered memory (short-term, episodic, long-term).
  • Ensure efficient token management and context allocation for reliability and cost efficiency.
• Integration & Ecosystem
  • Build frameworks to connect LLMs, APIs, enterprise data sources, and observability layers.
  • Collaborate with AgentOps Engineers to ensure smooth deployment and monitoring.
• Reliability & Governance
  • Implement guardrails for safety, compliance, and brand alignment.
  • Ensure architectures meet Responsible AI and governance standards.
• Innovation & Strategy
  • Stay ahead of emerging frameworks (LangGraph, MCP, AgentBridge, A2A messaging) and incorporate them into architecture strategy.
  • Partner with product managers and executives to align agent design with enterprise workflows and outcomes.
• Leadership & Mentorship
  • Guide AI engineers, AgentOps specialists, and product teams in best practices for agent design.
  • Mentor teams on evaluating trade-offs between accuracy, cost, latency, and compliance.

Skills & Qualifications

Must-Have

• 6–10 years in AI/ML engineering, systems architecture, or enterprise software design.
• Deep knowledge of LLM architectures, orchestration frameworks (LangChain, LangGraph, LlamaIndex), and agent design patterns.
• Strong understanding of context engineering, RAG pipelines, and vector/knowledge databases.
• Experience with multi-agent orchestration frameworks (MCP, A2A messaging, AgentBridge).
• Proficiency in Python and AI development stacks.
• Familiarity with cloud-native architecture (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
• Solid understanding of Responsible AI frameworks and compliance-driven system design.

Good-to-Have

• Background in Reinforcement Learning (RLHF, RLAIF, reward modeling).
• Experience in enterprise-scale deployments in BFSI, GRC, SOC, or FinOps.
• Prior experience as a Solutions Architect, AI Architect, or Technical Lead.
• Contributions to open-source frameworks in multi-agent systems or LLM orchestration.

WHY SHOULD YOU JOIN US?

• Agentic AI Product Company

Design architectures that power production-grade AI agents for enterprises worldwide.

• A Fast-Growing Category Leader

Be part of one of the fastest-growing AI Foundries, delivering Vision AI, AgentOps, and Inference Infrastructure.

• Career Mobility & Growth

Progress into roles like Principal Architect, Head of AgentOps, or CTO-track leadership.

• Global Exposure

Work on enterprise-scale agent architectures with Fortune 500 companies and regulated industries.

• Create Real Impact

Architect systems that directly influence business-critical decision-making and automation.

• Culture of Excellence

Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you freedom to innovate and accountability to lead.

• Responsible AI First

Shape frameworks ensuring agents are not just powerful, but also trustworthy, safe, and explainable.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe in shaping the future of intelligent systems. We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.

Our Cultural Values

• Agency – Be self-directed and proactive.
• Taste – Sweat the details and build with precision.
• Ownership – Take responsibility for outcomes.
• Mastery – Commit to continuous learning and growth.
• Impatience – Move fast and embrace progress.
• Customer Obsession – Always put the customer first.

Our Product Philosophy

• Obsessed with Adoption – Making AI agents enterprise-ready and accessible.
• Obsessed with Simplicity – Turning complex orchestration into seamless, intuitive workflows.

Be a part of our mission to accelerate the world’s transition to AI + Human Intelligence — by designing the architectures that bring enterprise AI agents to life