About Xenonstack
Xenon Stack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights.
Our Products- Agentic Systems for AI Agents: akira.ai
- Vision AI Platform: xenonstack.ai
- Inference AI Infrastructure for Agentic Systems: nexastack.ai
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.
- 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.
- 8+ years in solution architecture, enterprise software, or AI/ML engineering.
- Strong understanding of LLM architectures, embeddings, and agent orchestration frameworks (Lang Chain, Lang Graph, Agent Bridge).
- 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.
- Experience in BFSI, GRC, SOC, or Fin Ops.
- Familiarity with AI observability tools (Prometheus, Open Telemetry, Tru Lens, Ragas).
- Exposure to reinforcement learning (RLHF, RLAIF) for agent optimization.
- Background in AI governance frameworks and Responsible AI practices.
- Certifications in AI architecture, orchestration frameworks, and enterprise integration.
- Opportunities to lead strategic, cross-industry AI transformation projects.
- Incentives for high-impact solution design and customer success.
- Path to Principal Architect or Enterprise AI Architect roles.
- Comprehensive medical insurance and project-based allowances.
- Cab facilities for women employees and special project perks.
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.
- 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
.
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