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 minimal 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.