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:
Vision AI Platform:
Inference AI Infrastructure for Agentic Systems:
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.
SKILLS & QUALIFICATIONS
Must-Have:
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.