Agent Architect – Agentic Systems

10 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Xenonstack

XenonStack is the fastest-growing

Data and AI Foundry for Agentic Systems

, enabling people and organizations to gain

real-time and intelligent business insights

.

We Deliver Innovation Through

  • Agentic Systems for AI Agents → akira.ai
  • Vision AI Platform → xenonstack.ai
  • Inference AI Infrastructure for Agentic Systems → nexastack.ai
Our mission is to accelerate the world’s transition to

AI + Human Intelligence

by designing, deploying, and scaling

enterprise-grade AI agents

that are

trustworthy, explainable, and production-ready

.

THE OPPORTUNITY

We are seeking an

Agent Architect

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

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