AI Engineering Lead📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | Remote | |
| Location | Saudi Arabia |
About the Role
This position is listed on behalf of a partner company. The role of AI Engineering Lead is based in Saudi Arabia and requires a seasoned professional with hands-on technical expertise and strategic engineering leadership. The focus is on designing and delivering AI solutions, establishing best practices, and transforming complex AI concepts into practical applications. This role involves working with generative AI, machine learning systems, and modern cloud architectures to shape innovative technology initiatives. The position offers significant influence over technical standards, solution design, and team development. Ideal candidates are passionate about emerging AI technologies, mentoring, and building scalable systems that deliver business value.
Key Responsibilities
- Lead, mentor, and develop a high-performing AI engineering team, fostering a culture of innovation, collaboration, and technical excellence.
- Serve as the primary technical authority for AI initiatives, providing guidance on architecture, implementation strategies, and engineering best practices.
- Design and deliver production-ready AI solutions, including machine learning systems, generative AI applications, retrieval-augmented generation (RAG) platforms, and agent-based workflows.
- Translate complex technical concepts into clear recommendations and actionable insights for both technical and non-technical stakeholders.
- Advise clients and internal teams on AI roadmaps, solution design, technology selection, and delivery strategies.
- Establish and promote standards for AI-first software development, cloud deployment, code quality, security, scalability, and operational excellence.
- Oversee the successful execution of multiple AI projects, ensuring high-quality delivery and alignment with business objectives.
- Evaluate emerging technologies and identify opportunities to enhance products, services, and engineering practices.
- Collaborate closely with cross-functional teams to ensure efficient deployment, adoption, and ongoing optimization of AI solutions.
Required Qualifications
- Extensive hands-on experience designing, building, and deploying AI and machine learning solutions in production environments.
- Proven experience developing large language model (LLM) applications, retrieval-augmented generation (RAG) systems, AI agents, and AI-driven microservices.
- Demonstrated success leading, mentoring, or managing engineering teams in complex technical environments.
- Experience designing scalable, secure, and maintainable cloud-based architectures.
- Strong consulting, stakeholder management, and client-facing communication skills.
- Ability to explain technical trade-offs and strategic decisions to audiences with varying levels of technical expertise.
- Passion for continuous learning and staying current with advancements in artificial intelligence and software engineering.
Technical Skills and Expertise
- AI Engineering, Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agent-based workflows.
- Proficiency in Python and modern AI frameworks, tools, and libraries, including Large Language Models (LLMs) and AI-driven microservices.
- Experience with technologies such as LangChain, LlamaIndex, Vector Databases, PyTorch, TensorFlow, Docker, and Kubernetes.
- Familiarity with major cloud platforms including AWS, Azure, or Google Cloud.
- Solid understanding of MLOps, LLMOps, CI/CD pipelines, AI observability, model monitoring, performance optimization, latency management, and cost control.
- Team Leadership and Mentoring capabilities.
- Expertise in designing scalable, secure, and maintainable Cloud-based architectures.
- Strong Consulting, Stakeholder Management, and Client-facing communication skills.
- Proficiency in explaining technical trade-offs and strategic decisions.
- Commitment to Continuous Learning in Artificial Intelligence and Software Engineering.
Additional Role Information
This role is for an AI Engineering Lead, with the company being Jobgether (on behalf of a partner company). The position is located in Saudi Arabia and requires over 10 years of experience. The work type is full-time.
Jobgether utilizes an AI-powered matching process for application review. The final decision and interview process are managed by the hiring company. By submitting your application, you acknowledge that Jobgether will process your personal data for evaluation and sharing with the hiring employer, based on legitimate interest and pre-contractual measures. You may exercise your data rights at any time. AI tools may be used to assist in the hiring process, but final decisions are human-led.
Requirements
- Requires +10 Years experience
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