Solution Architect – Agentic Systems

XenonStack; Dubai; On-site; AED 300,000 - 600,000; Full time

Benefits offered by this job

Comprehensive medical insurance

Project-based allowances

Cab facilities for women employees

Special project perks

Job summary

XenonStack in Dubai, United Arab Emirates is hiring an experienced Solution Architect – Agentic Systems to design and deliver end-to-end AI agent solutions for enterprise needs.

This role blends technical architecture, solution design, and customer collaboration to deploy multi-agent systems, RAG pipelines, and AI orchestration frameworks securely and scalably.

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.
• Strong communication skills for both technical and executive audiences.

Responsibilities

• 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.
• Architect API, RAG, and data pipeline integrations with enterprise systems (ERP, CRM, SOC tools).
• Ensure interoperability between AI agents, vector DBs, and knowledge graphs.
• Optimize latency, token usage, and model selection for cost-effective deployments.
• Design for high availability and fault tolerance in production.
• Embed governance, auditability, and data privacy controls in all solutions.
• Act as a trusted advisor for client technical teams.
• Conduct workshops, POCs, and design reviews to validate architectural choices.
• Work closely with Forward Deployed Engineers, AI Interaction Engineers, and Agent Architects to ensure smooth delivery.

Skills

LLM architectures

Embeddings

Agent orchestration

RAG pipelines

Python

API design

Communication skills

Tools

LangChain

LangGraph

AgentBridge

Job description

Dubai, United Arab Emirates

XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights.

Inference AI Infrastructure for Agentic Systems:nexastack.ai

THE OPPORTUNITY

We are seeking aSolution Architect – Agentic Systemsto design and deliverend-to-end AI agent solutionstailored to enterprise customer needs.

This role blendstechnical 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 bridgingbusiness objectiveswithdeep technical design, and you want to define the blueprint for enterprise AI adoption, this role is for you.

RESPONSIBILITIES

Translate customer requirements into scalable, compliant AI agent architectures.

Design workflows usingmulti-agent orchestration, A2A messaging, and tool chaining.

Definecontext and memory strategiesfor long-running AI processes.

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).

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.

SKILLS & QUALIFICATIONS

Must-Have:

8+ years in solution architecture, enterprise software, or AI/ML engineering.

Strong understanding ofLLM architectures, embeddings, and agent orchestration frameworks (LangChain, LangGraph, AgentBridge).

Proven experience designingRAG pipelines, hybrid retrieval systems, and knowledge graph integrations.

Proficiency in Python and experience with API design/integration.

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

Certifications in AI architecture, orchestration frameworks, and enterprise integration.

Opportunities to leadstrategic, cross-industry AI transformation projects.

Recognition & Rewards

Incentives for high-impact solution design and customer success.

Path toPrincipal ArchitectorEnterprise AI Architectroles.

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 valuedeep work,experimentation, andownershipin 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 toAI + Human Intelligence.