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.
SKILLS & QUALIFICATIONS
----------------------------
Must-Have:
8+ years in solution architecture, enterprise software, or AI/ML engineering.
Strong understanding of
, 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.