GenAI Architect (PreSales) - Arabic Speaking

Bot Jobs

Riyadh

Remote

SAR 420,000 - 950,000

Full time

6 days ago
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Job summary

NorthBay Solutions, a global Amazon Consulting Partner, is seeking a Senior Generative AI Architect (PreSales) who can lead design and delivery of Agentic AI solutions for enterprise clients in KSA and UAE.

The role combines presales and hands-on AI/ML engineering, with responsibility for architecture, multi-agent workflows, tool integration, and ensuring security and governance across regions. Remote with travel; based in Saudi Arabia.

Qualifications

  • 15+ years in software engineering and AI/ML.
  • 3+ years building LLM-powered applications.
  • Experience delivering Agentic AI or autonomous AI systems.
  • Strong enterprise architecture and distributed systems knowledge.
  • Experience working with enterprise customers and senior stakeholders.

Responsibilities

  • Define architecture for enterprise-grade Generative AI and Agentic AI.
  • Build autonomous multi-agent workflows using LLM frameworks.
  • Integrate AI agents with APIs, databases, and SaaS.
  • Establish reusable AI components and pipelines.
  • Drive performance, context management, latency, and cost improvements.
  • Ensure security, privacy, governance, and compliance in AI deployments.
  • Provide technical leadership across regions.
  • Translate business requirements into scalable AI solutions.
  • Mentor engineers and contribute to standards.

Skills

Presales
Software engineering
AI/ML
LLM applications
Agentic AI
Architectural leadership

Tools

LangChain
AutoGPT
CrewAI
Semantic Kernel
ReAct

Job description

GenAI Architect (PreSales) - Arabic Speaking
Remote (needs occassional travel across KSA and UAE) | KSA-Based Candidate Required

We are looking for an experienced Senior Generative AI Architect (PreSales) - Arabic Speaking, to lead the design and delivery of next-generation Agentic AI solutions for enterprise clients across Saudi Arabia and the UAE.

NorthBay Solutions, a global Amazon Consulting Partner, with 400+ workforce team operating across the United States, Canada, UAE, Saudi Arabia, India, and Pakistan. This is a senior technical leadership opportunity for an architect who combines presales and deep software engineering experience with hands-on expertise in LLM applications and autonomous AI systems.

The Opportunity

The successful candidate will take ownership of the architecture and technical direction of complex Agentic AI platforms. You will work beyond conventional chatbot implementations, designing AI systems capable of reasoning, using tools, interacting with enterprise systems, and coordinating multiple agents to accomplish business objectives.

The role requires someone with 15+ years of professional experience in software engineering and AI/ML, including at least 3 years of hands-on experience developing LLM-powered applications.

What You Will Own
  • Define technical architecture for enterprise-grade Generative AI and Agentic AI solutions.

  • Build autonomous and multi-agent workflows using modern LLM frameworks.

  • Connect AI agents with APIs, databases, enterprise applications, internal tools, and third-party SaaS platforms.

  • Establish reusable AI components, pipelines, and frameworks that can support multiple enterprise use cases.

  • Drive improvements in model performance, context management, tool selection, latency, and operating costs.

  • Establish appropriate security, privacy, governance, and compliance practices for AI deployments.

  • Provide technical leadership to engineering teams working across multiple regions and time zones.

  • Work directly with enterprise customers, architects, and senior stakeholders to translate business requirements into scalable AI solutions.

  • Mentor engineers and contribute to engineering standards, documentation, and architectural best practices.

Technical Environment

You should be comfortable working hands-on across a modern AI and cloud technology stack, including:

Agentic AI & LLM Frameworks

  • LangChain

  • AutoGPT

  • CrewAI

  • Semantic Kernel

  • ReAct and comparable agent frameworks

Models & AI Platforms

  • OpenAI

  • Claude

  • Gemini

  • Mistral

  • Llama 2 and related open-source models

AI Engineering

  • Retrieval-Augmented Generation (RAG)

  • Prompt engineering

  • Embeddings

  • Memory and context management

  • Vector databases such as FAISS, Pinecone, and Weaviate

  • Tool calling and API integrations

  • Multi-agent architectures

Cloud & Application Development

  • Python

  • Node.js

  • Serverless architectures

  • AWS

  • Microsoft Azure

  • Google Cloud Platform

What We're Looking For

This position is intended for a highly experienced architect who can combine strategic architecture with practical implementation.

Required background includes:

  • 15+ years of professional presales, software engineering and AI/ML experience.

  • 3+ years of hands-on experience building LLM-based applications.

  • Demonstrated experience delivering Agentic AI or autonomous AI systems, rather than chatbot-only solutions.

  • Strong understanding of enterprise architecture and scalable distributed systems.

  • Experience integrating AI solutions with APIs, databases, SaaS platforms, and enterprise applications.

  • Previous experience leading engineering teams or technical initiatives.

  • Experience working directly with enterprise customers and senior stakeholders.

  • Strong written and verbal communication skills.

  • Ability to operate effectively with globally distributed teams.

Location & Working Model

Work arrangement: Remote (needs occassional travel across KSA and UAE)

Location requirement: Candidates must be based in Saudi Arabia (KSA).

The broader organization operates across the US, Canada, UAE, KSA, India, and Pakistan, providing opportunities to collaborate with distributed technical and consulting teams.

What You Can Expect

This role offers the opportunity to:

  • Architect AI solutions for global enterprise AI initiatives.

  • Work on production-scale Agentic AI and Generative AI programs.

  • Influence the architecture and engineering practices behind emerging AI platforms.

  • Collaborate with senior technical and business teams across multiple countries.

  • Take a leading role in the development of enterprise AI capabilities.

Compensation: Competitive, based on experience and scope of the role.

Career: Long-term opportunity with the potential to take on broader technical and architectural leadership responsibilities.

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