
AI Engineering Lead
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in China.
• Spearhead enterprise AI solutions, overseeing the process from feasibility assessment and prototyping to production deployment, stabilization, and operational handover.
• Convert business requirements into solution architecture, delivery plans, engineering tasks, and measurable acceptance criteria.
• Lead the delivery and integration of AI assistants, knowledge search, retrieval-augmented generation, intelligent agents, and workflow automation.
• Incorporate secure development, testing, deployment, monitoring, evaluation, documentation, and rollback practices throughout the delivery process.
• Ensure that solutions comply with security, privacy, responsible AI, performance, reliability, scalability, and supportability standards.
• Coordinate efforts among multidisciplinary teams and external partners.
• Manage technical risks and dependencies effectively.
• Evaluate the quality of delivery.
• Mentor colleagues on best practices in AI engineering.
• Over 10 years of experience in IT, encompassing software, data, or platform engineering, or technology delivery.
• More than 2 years of hands-on experience in delivering AI, machine learning, or generative AI solutions within an enterprise setting.
• Demonstrated experience in leading complex technology delivery from feasibility assessment through to production and operational handover.
• In-depth knowledge of cloud platforms, enterprise data, APIs, business systems, identity and access management, CI/CD, MLOps, as well as testing and monitoring practices.
• Capability to provide practical technical guidance, assess engineering quality, address delivery challenges, and strike a balance between value, risk, cost, speed, and quality.
• Strong skills in stakeholder management and cross-functional leadership.
• Proficient written and verbal communication skills in English, particularly in global or matrix environments.
• Experience with AI solution evaluation, reusable engineering standards, coaching, or navigating complex business domains is preferred.
• Flexible working hours.
• Options for remote or mobile working.
• Competitive starting salary.
• Annual salary increases based on performance.
• Paid parental leave, inclusive of non-birthing parents.
• Access to training and development programs.
• Diverse career opportunities within national and international teams.
• Chance to develop transferable skills.
• Collaboration with experienced colleagues.
• Culture driven by values, emphasizing honesty, integrity, respect, diversity, and inclusion.
Maneva
GOK | Digital Innovation
Thomson Reuters
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