AI Summary
Design and develop enterprise-grade Agentic AI applications using LLM frameworks. Architect multi-agent systems, integrate with APIs and databases, and lead cross-functional teams across global time zones. Requires 15+ years of software engineering experience with proven hands-on expertise in LangChain, AutoGPT, and similar agentic AI technologies.
Key Highlights
15+ years of software engineering and AI/ML experience
Hands-on experience with LangChain, AutoGPT, CrewAI, and Semantic Kernel
Lead cross-functional teams across US, Canada, UAE, KSA, India, and Pakistan
Key Responsibilities
Design and develop Agentic AI applications using LLM frameworks
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders
Technical Skills Required
Benefits & Perks
Competitive compensation
Long-term career roadmap
Job Description
Senior GenAI & Agentic AI Architect – (Remote, must be based in KSA)
Location: Remote (Saudia Arabia based)
About The Role
Our client, a global Amazon Consulting Partner with distributed teams across the US, Canada, UAE, KSA, India, and Pakistan, is hiring a high-caliber Senior Generative AI Architect with proven hands-on experience in building Agentic AI applications.
This role is ideal for someone who has 15+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks.
Key Responsibilities
- Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
- Architect and implement multi-agent systems for enterprise-grade solutions
- Integrate AI agents with APIs, databases, internal tools, and external SaaS products
- Lead and mentor a cross-functional team across global time zones
- Optimize performance, context retention, tool usage, and cost efficiency
- Build reusable pipelines and modules to support GenAI use cases at scale
- Ensure enterprise-grade security, privacy, and compliance standards in deployments
- Collaborate directly with clients and senior stakeholders
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Min 15+ years of professional experience in software engineering and AI/ML
- 3+ years of practical experience in LLM-based application development
- Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
- Hands-on experience with:
- LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
- OpenAI, Claude, Gemini, Mistral, or Llama2
- Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
- Prompt engineering, RAG, memory/context management
- Serverless, Python, Node.js, AWS/GCP/Azure cloud
- Experience leading engineering teams and working with enterprise clients
- Excellent communication, documentation, and stakeholder management skills
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Work on Saudi and UAE AI initiatives
- Lead cutting-edge Agentic AI projects at enterprise scale
- Collaborate with senior teams across US, Canada, UAE, KSA India, and Pakistan
- Competitive compensation + long-term career roadmap
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