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Agent Architect – Agentic Systems
XenonStack —Mohali, Punjab
- Full-time
- Azure
- System design
- Master's degree
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- AWS
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Agent Architect – Agentic Systems

XenonStack -
Mohali, Punjab

Apply Now

Job details

Full-time

Qualifications

Azure
Cloud architecture
Law
Software design
MCP
Kubernetes
Enterprise Software
System design
Master's degree
Databases
AWS
Docker
APIs
AI
Graph databases
Python
Design patterns

Full job description

Job Information

Date Opened

03/17/2026

Job Type

Full time

Industry

Technology

Work Experience

4-5 Years

City

Mohali

State/Province

Punjab

Country

India

Zip/Postal Code

160071

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

Requirements

Apply Now

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