Solution Architect Agentic Systems

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 a Solution Architect – Agentic Systems to design and deliver end-to-end AI agent solutions tailored to enterprise customer needs.

This role blends technical architecture, solution design, and customer collaboration — ensuring deployments of multi-agent systems, RAG pipelines, and AI orchestration frameworks are secure, scalable, and business-aligned.

If you thrive on bridging business objectives with deep technical design, and you want to define the blueprint for enterprise AI adoption, this role is for you.

Responsibilities

• Solution Design & Architecture
• Translate customer requirements into scalable, compliant AI agent architectures.
• Design workflows using multi-agent orchestration, A2A messaging, and tool chaining.
• Define context and memory strategies for long-running AI processes.
• Integration Leadership
• Architect API, RAG, and data pipeline integrations with enterprise systems (ERP, CRM, SOC tools).
• Ensure interoperability between AI agents, vector DBs, and knowledge graphs.
• Performance & Scalability
• Optimize latency, token usage, and model selection for cost-effective deployments.
• Design for high availability and fault tolerance in production.
• Security & Compliance
• Embed governance, auditability, and data privacy controls in all solutions.
• Ensure adherence to industry regulations (GDPR, PCI-DSS, HIPAA as applicable).
• Customer Engagement
• Act as a trusted advisor for client technical teams.
• Conduct workshops, POCs, and design reviews to validate architectural choices.
• Collaboration & Delivery Support
• Work closely with Forward Deployed Engineers, AI Interaction Engineers, and Agent Architects to ensure smooth delivery.
• Provide architectural oversight during implementation phases.
  

Must-Have

SKILLS & QUALIFICATIONS

• 8+ years in solution architecture, enterprise software, or AI/ML engineering.
• Strong understanding of LLM architectures, embeddings, and agent orchestration frameworks (LangChain, LangGraph, AgentBridge).
• Proven experience designing RAG pipelines, hybrid retrieval systems, and knowledge graph integrations.
• Proficiency in Python and experience with API design/integration.
• Cloud-native architecture skills (AWS, GCP, Azure, Kubernetes).
• Strong communication skills for both technical and executive audiences.
  
  

Good-to-Have

• Experience in BFSI, GRC, SOC, or FinOps.
• Familiarity with AI observability tools (Prometheus, OpenTelemetry, TruLens, Ragas).
• Exposure to reinforcement learning (RLHF, RLAIF) for agent optimization.
• Background in AI governance frameworks and Responsible AI practices.
  
  

Career Growth & Benefits

Continuous Learning & Growth

• Certifications in AI architecture, orchestration frameworks, and enterprise integration.
• Opportunities to lead strategic, cross-industry AI transformation projects.
  
  

Recognition & Rewards

• Incentives for high-impact solution design and customer success.
• Path to Principal Architect or Enterprise AI Architect 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.

---