Agent Architect – Agentic Systems
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About the Role
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.
Key Skills for This Role
Full Job Posting
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.
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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