Lead AI Engineer

We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode. In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity. Responsibilities Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performanceAdvise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approachesDefine and implement spec-driven development practices with governance and reusable standardsDesign KPIs to measure productivity gains, quality improvements and AI adoption maturityBuild end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inferenceDevelop operational strategies for agentic systems, including rollout governance, versioning and observabilityPartner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability upliftDrive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflowsImplement responsible AI practices, ensuring compliance with security, safety and ethical guidelines Requirements Bachelor's degree in Computer Science, Software Engineering or related field4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutionsProven track record leading AI transformations, strategy design and adoption initiativesDeep expertise in RAG architectures: embeddings, vector DBs, retrieval strategiesStrong proficiency with Python, familiarity with Java and API protocols (REST/gRPC)Experience with agent frameworks and implementing agentic workflows in enterprise software deliveryPractical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automationHands-on experience in integrating LLM providers and self-hosted models into scalable architecturesKnowledge of AI observability, testing frameworks, model versioning and prompt governance We offer Private healthcare and life insuranceEnd of service gratuityAnnual air travel tickets for expatriatesCorporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, and courses