
Agent Architect
1 day ago
**Job Information**:
Date Opened
**08/08/2025**
Job Type
**Full time**
Industry
**Technology**
Work Experience
**4-5 Years**
City
**Mohali**
State/Province
**Punjab**
Country
**India**
Zip/Postal Code
**160071**
**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.
- **
Agentic Systems for AI Agents**: akira.ai
- **
Vision AI Platform**: xenonstack.ai
- **
Inference AI Infrastructure for Agentic Systems**: nexastack.ai
**THE OPPORTUNITY**:
We are seeking an **Agent Architect - Agentic Systems** to design, orchestrate, and oversee the technical architecture for large-scale AI agent ecosystems.
This role is responsible for defining **multi-agent orchestration patterns**, **context and memory strategies**, and **tooling integrations** to ensure AI agents operate with high reliability, scalability, and compliance in enterprise environments.
If you thrive at the intersection of **AI systems design, orchestration frameworks, and enterprise integration**, this role offers the opportunity to shape the backbone of mission-critical agentic AI deployments.
**RESPONSIBILITIES**:
- **Architect Multi-Agent Systems**
- Define orchestration patterns, A2A messaging flows, and tool chaining strategies for complex AI workflows.
- **Design Context & Memory Frameworks**
- Establish standards for short-term, long-term, and episodic memory persistence across agents.
- **Integration Architecture**
- Oversee design of APIs, connectors, and event-driven pipelines for connecting agents to enterprise data sources and tools.
- **Performance & Cost Optimization**
- Architect for mínimal latency, efficient token usage, and predictable scaling.
- **Reliability & Observability**
- Embed monitoring, logging, and evaluation hooks into agent orchestration to support AgentOps and Observability teams.
- **Security & Compliance Alignment**
- Ensure architecture meets privacy, audit, and regulatory standards (GDPR, PCI-DSS, HIPAA as applicable).
- **Collaboration & Governance**
- Partner with AI Interaction Engineers, Forward Deployed Engineers, and Customer Data Scientists to ensure architectural consistency and adoption best practices.
- **Technology Evaluation**
- Assess and recommend frameworks, orchestration layers, and model providers based on enterprise needs and emerging trends.
**SKILLS & QUALIFICATIONS**:** Must-Have**:
- 6+ years in software architecture, AI/ML engineering, or enterprise system design.
- Deep understanding of **LLM architectures**, embeddings, and agent orchestration frameworks (LangChain, LangGraph, AgentBridge, or equivalents).
- Proven experience designing **multi-agent systems** and integrating with vector databases, RAG pipelines, and knowledge graphs.
- Proficiency in **Python** and API design for high-scale systems.
- Experience with **event-driven and microservices architectures**.
- Strong knowledge of scalability, resilience, and cost optimization strategies for AI workloads.
**Good-to-Have**:
- Background in BFSI, GRC, SOC, or other regulated industries.
- Familiarity with reinforcement learning (RLHF, RLAIF) for agent behavior optimization.
- Knowledge of AI observability tools (Prometheus, OpenTelemetry, TruLens, Ragas).
- Experience with cloud-native deployment (AWS, GCP, Azure, Kubernetes).
**CAREER GROWTH & BENEFITS**:** Continuous Learning & Growth**
- Certification sponsorships in AI system architecture, orchestration frameworks, and Responsible AI.
- Opportunities to define **enterprise-wide agentic AI reference architectures**.
**Recognition & Rewards**
- Incentives for innovations in agent architecture and orchestration.
- Fast-track opportunities into **Chief AI Architect** or **AI Systems Leadership** roles.
**Work Benefits & Well-Being**
- Comprehensive medical insurance and project-based allowances.
- Cab facilities for women employees and special project perks.
**XENONSTACK CULTURE - JOIN US & MAKE AN IMPACT**:
We foster a culture of cultivation with bold, human-centric leadership principles. We value **deep work**, **experimentation**, and **ownership** in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems.
**Product Values**:
- **
Obsessed with Adoption** - Making AI accessible and enterprise-ready.
- **
Obsessed with Simplicity** - Turning complexity into seamless, intuitive AI experiences.
Be a part of our vision to accelerate the world’s transition to **AI + Human Intelligence**.
**Requirements**:
-
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