AIArtificial IntelligenceMachine LearningMLDeep LearningLarge Language ModelsRAGAgenticMLOpsLeadershipCollaboration
About this role
Role Overview
Serve as the functional manager for a multidisciplinary AI team, including AI engineers, AI architects, and data engineers
Broad ownership of all aspects of people leadership including hiring, career development, technical skill development and mentorship
Partner with stakeholders across corporate function and business units to identify high value AI use cases, translate business needs into AI solutions and prioritize initiatives based on impact and feasibility
Lead teams through the end-to-end AI lifecycle including problem framing, solution design, development, deployment and ongoing improvement
Ensure AI solutions are scalable, reliable, explainable, aligned with responsible AI principles and follow good MLOps practices
Define success metrics and KPIs for AI initiatives; measure, communicate, and continuously improve the business value and ROI of AI projects
Coordinate across engineering, product, IT, security, legal and compliance teams to deliver AI solutions effectively. Communicate clearly and confidently with senior and executive stakeholders translating technical concepts into business outcomes
Requirements
Bachelor’s Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related technical field AND 10 years of job related experience OR High School Diploma/GED from AND 16 years of the same job-related experience
8+ years of experience working in AI/ML roles, with track record of delivering production AI solutions
3+ years of experience managing and developing technical teams
Professional proficiency in English required, with regular collaboration across global teams.
Strong foundation in traditional AI and machine learning techniques, such as deep learning, decision trees, random forests, optimization techniques and statistical modeling
Hands on experience with modern AI approaches, including large language models (LLMs) and transformer architectures, Retrieval-Augmented Generation (RAG) systems, Agentic AI and autonomous or semi
autonomous AI architectures
Proven ability to lead, motivate and develop diverse technical teams