We are seeking a Senior Manager- AI Architect Based out of Jordan

Key responsibilities:

• Architect end-to-end Agentic/GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines
• Guide the design and the optimization of RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant).
• Guide the evaluation of tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints
• Lead the Integration of LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind
• Collaborate with cross-functional teams - translating complex Agentic/GenAI architectures into stable, maintainable features that support product delivery
• Write and review technical design documents and remain actively involved in implementation decisions
• Lead the deployment to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)Design robust, scalable, and secure cloud-native AI solutions leveraging modern AI technologies and frameworks.
• Oversee AI implementation, ensuring alignment with business objectives and industry best practices.
• Help to establish and maintain CI/CD pipelines for continuous integration and delivery using standard DevOps tools.
• Collaborate with clients and stakeholders to understand business needs and technical requirements.
• Provide expert guidance and architectural recommendations for cloud modernization, configurations, and optimization.
• Lead proof of concept (PoC) initiatives to validate proposed solutions and demonstrate their feasibility.
• Foster a collaborative environment to ensure successful AI project delivery and promote best practices.
• Stay current with the latest AI technologies, advocating for innovative solutions that enhance business performance and competitive advantage.
• Collaborate across teams to share AI knowledge, best practices, and develop or review technical standards and policies.
• Support in vendor assessments, strategic recommendations, and make complex AI concepts clear for non-technical stakeholders.
• Lead, mentor, and manage AI teams, driving efficient and compliant project execution.

Technical Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, with 10+ years of experience in the field
• Proven experience designing and deploying AI systems at scale (e.g., NLP, GenAI, LLMs).
• Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g. RAG, prompt injection protection, tool use with agents)
• Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs
• Experience with vector databases such as FAISS, Qdrant, or Pinecone
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization)
• Proven experience supporting and/or delivering AI/ML Products
• Solid programming skills in Python, C#, or equivalent languages; familiarity with REST APIs and AI SDKs.
• Experience with GenAI and LLM orchestration frameworks.

This Role Is Not For

• ML researchers focused on academic model development without delivery / product experience
• Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture
• Engineers who haven't shipped GenAI products into production environments