# Solution Architect, Agentic Systems - Dubai — XenonStack Moments

Canonical: https://jobxdubai.com/jobs/li-4472286130-solution-architect-agentic-systems-dubai
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 50,000 to 90,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-09-26
Apply: https://www.linkedin.com/jobs/view/solution-architect-agentic-systems-dubai-at-xenonstack-moments-4472286130?_l=en

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## Description

About Xenonstack

XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.

We Build Enterprise-grade Platforms Across The Agentic Stack

• Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.

• ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.

• NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.

• MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.

Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.

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.

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## Requirements

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.

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