Agentic AI Architect

The company is seeking a skilled and innovative Agentic AI Architect to lead the design, development, and deployment of advanced agentic AI systems. In this critical role, you will leverage cutting-edge frameworks and technologies to build scalable, cloud-native AI platforms that enable autonomous reasoning, multi-step planning, and intelligent system integrations. Your expertise will directly contribute to transforming business processes and delivering innovative solutions across various industries.

Work Conditions: On-site, Full-time
Location: Riyadh, Riyadh, Saudi Arabia

Required Skills:

• Proficiency in agentic AI frameworks such as LangChain, AutoGen, and MetaGPT (latest stable versions)
• Experience with Camel AI or Apache Camel (latest versions) for routing and mediation
• Strong expertise in cloud platforms like AWS or Azure, including containerization with Docker and orchestration with Kubernetes
• Programming skills in Python, Node.js, or Java (Camel DSL)
• API development and integration skills using REST and gRPC

Preferred Skills:

• Experience with Retrieval-Augmented Generation (RAG) techniques and multimodal AI systems
• Knowledge of plugin/tool execution pipelines (e.g., ReAct pattern)
• Familiarity with vector stores, episodic memory, and context-aware agent design

Overall Responsibilities:

• Architect and implement scalable agentic AI solutions leveraging frameworks like LangChain, CrewAI, LangGraph, or LlamaIndex.
• Integrate Camel AI for intelligent message routing, event-driven orchestration, and multi-agent communication.
• Design modular, cloud-native architectures adhering to microservices principles, preferably on AWS or Azure, using Docker and Kubernetes.
• Enable and facilitate multi-agent cooperation through established protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent).
• Lead backend orchestration efforts with programming languages including Python, Node.js, or Java, ensuring robust and maintainable codebases.
• Collaborate with frontend teams to ensure seamless integration via REST and gRPC APIs.
• Optimize system performance, scalability, and security for enterprise-grade deployments.
• Mentor engineering teams, promote best practices for agentic workflows, and foster innovation within the organization.

Experience Requirements:

• Minimum of 5 years of experience in AI system design, development, or related fields.
• Proven experience with agentic AI principles including autonomous reasoning, tool utilization, and multi-step reasoning.
• Hands-on experience with Camel AI or Apache Camel for system integration.
• Demonstrated ability to design cloud-native architectures and deploy enterprise solutions at scale.
• Industry experience in AI platform development, intelligent automation, or related areas preferred.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect, etc.) are a plus.
• Successful completion of relevant training in AI frameworks or cloud-native development recommended.
• Commitment to continuous learning in emerging AI and cloud technologies.

Professional Competencies:

• Critical thinking and analytical problem-solving skills.
• Strong leadership and teamwork capabilities, with the ability to mentor and inspire technical teams.
• Excellent communication skills, capable of engaging with stakeholders across technical and non-technical domains.
• Adaptability to evolving technologies and project requirements.
• Innovative mindset focused on delivering impactful AI solutions.
• Effective time management and prioritization in fast-paced environments.

Language Requirements:

• Proficiency in English; additional language skills are a plus.