Artificial Intelligence Engineer
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Key skills for this role
About the Role
Kingston Stanley is seeking an experienced AI Engineer to design, develop, and deploy secure, private AI agent platforms in Dubai. The role involves architecting self-hosted LLM environments, managing MLOps, and integrating AI with enterprise tools.
Key Skills for This Role
Responsibilities
- Design, develop, and implement secure, private AI agent platforms and supporting portals
- Architect, deploy, and manage self hosted Large Language Model (LLM) environments (e.g., LLaMA, Mistral)
- Design and maintain secure AI architectures incorporating data isolation, encryption, access controls, audit logging, and governance
- Develop and support internal applications with SSO, RBAC, and user management
- Implement and manage containerized environments using Docker and Kubernetes
- Own the end to end AI platform lifecycle (MLOps) including deployment, monitoring, model versioning, and performance optimization
- Design and develop AI agent ecosystems for engineering processes, workflow automation, and business operations
- Integrate AI solutions with enterprise platforms including Microsoft OneDrive, Jira, GitLab, and productivity tools
- Build monitoring, reporting, and feedback mechanisms to measure agent performance and business ROI
- Evaluate emerging AI technologies and translate technical innovations into practical business solutions
- Provide technical leadership and mentorship to junior engineers
- Support commercial and client facing activities with technical expertise
Requirements
- Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
- Minimum 8 years of hands on experience in AI/ML engineering
- Strong experience with Python
- Proven experience developing, deploying, and optimizing AI/ML solutions in real world business environments
- Strong analytical and data driven mindset
- Highly collaborative and proactive team player
- Comfortable operating in dynamic, rapidly evolving environments
- Strong problem solving, communication, and stakeholder management skills
Full Job Posting
AI Engineer – Dubai
- Partner with Product Manager to design, develop, and implement secure, private AI agent platforms and supporting portals that automate business operations across multiple entities while ensuring compliance with internal data protection and security policies
Key Responsibilities
- Architect, deploy, and manage self hosted Large Language Model (LLM) environments (e.g., LLaMA, Mistral) without reliance on external or cloud based AI APIs
- Design and maintain secure AI architectures incorporating data isolation, encryption, access controls, audit logging, and governance best practices
- Develop and support internal applications and user portals, including Single Sign On (SSO), Role Based Access Control (RBAC), and user management capabilities
- Implement and manage containerized and orchestrated environments using technologies such as Docker and Kubernetes
- Own the end to end AI platform lifecycle (MLOps), including deployment, monitoring, model versioning, performance optimization, and continuous improvement
- Design and develop AI agent ecosystems that support engineering processes, workflow automation, business operations, reporting, analytics, and decision making
- Integrate AI solutions with enterprise platforms including Microsoft OneDrive, Jira, GitLab, repositories, and productivity tools to enable seamless cross functional automation
- Build monitoring, reporting, and feedback mechanisms to measure agent performance, user adoption, operational efficiency, and business ROI
- Develop scalable, modular, and reusable solutions that can be leveraged across multiple business units and use cases
- Evaluate emerging AI technologies, frameworks, architectures, and models, translating technical innovations into practical business solutions
- Promote knowledge sharing by documenting best practices, reusable patterns, and lessons learned to strengthen AI engineering capabilities across the organization
- Provide technical leadership and mentorship to junior engineers while independently managing complex technical initiatives
Requirement
- Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
- Minimum 8 years of hands on experience in AI/ML engineering, ideally within technology driven organizations or fast paced product environments
- Strong experience with Python
- Demonstrated ability to balance strategic thinking with hands on execution, identifying long term AI opportunities while delivering scalable, production ready solutions
- Strong analytical and data driven mindset, with a deep understanding of the role of structured, enriched, and high quality data in building effective AI systems
- Proven experience developing, deploying, and optimizing AI/ML solutions in real world business environments
- Highly collaborative and proactive team player with a passion for knowledge sharing, continuous improvement, and contributing to collective success
- Comfortable operating in dynamic, rapidly evolving environments where innovation, experimentation, and execution are equally valued
- Strong problem solving, communication, and stakeholder management skills, with the ability to translate complex technical concepts into business value
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