Solution Architect – Agentic Systems

XenonStack Moments; Dubai; On-site; AED 440,690 - 587,587; Full time

Benefits offered by this job

Comprehensive medical insurance

Project-based allowances

Cab facilities for women employees

Job summary

A rapidly scaling AI solutions provider in Dubai is seeking an experienced Solution Architect to design end-to-end AI agent solutions tailored to enterprise customer needs. This role encompasses technical architecture and solution design, ensuring scalable and secure deployments of multi-agent systems. The ideal candidate will have over 8 years in solution architecture or AI/ML engineering, strong communication skills, and a deep understanding of cloud-native architectures. This position comes with benefits such as medical insurance and opportunities for career growth.

Qualifications

• 8+ years in solution architecture or AI/ML engineering.
• Strong understanding of LLM architectures and agent orchestration frameworks.
• Proven experience designing RAG pipelines and hybrid retrieval systems.

Responsibilities

• Translate customer requirements into AI agent architectures.
• Architect API and data pipeline integrations with enterprise systems.
• Optimize latency and design for high availability.

Skills

Solution architecture

AI/ML engineering

API design/integration

Cloud-native architecture

Communication

Tools

Python

AWS

GCP

Azure

Kubernetes

Job description

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.

Products

• 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.