Sr. Director of Engineering – AI & ML

Sr. Director of Engineering – AI & ML

Requirements

• Bachelor’s, Master’s, or PhD degree in Computer Science, Mathematics, Data Science, or a related field
• 10+ years of experience in software engineering, with a focus on AI and ML technologies, managing large-scale global teams
• 10+ years of experience in engineering leadership roles, managing and mentoring globally distributed engineering teams
• Deep expertise in machine learning, with a strong focus on NLP, semantic search, and other advanced natural language processing techniques
• Proven experience with MLOps, data platforms (e.g., Snowflake), data pipelines (e.g., Airflow), and messaging platforms (e.g., Kafka), across multiple geographic regions
• Strong background in data architecture, software architecture, and distributed systems, with experience coordinating technical efforts across global teams
• Proficient in Python, Java, SQL, and other relevant programming languages and tools
• Experience in cloud-native delivery, with a deep understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
• Strong communication and collaboration skills, with the ability to engage effectively with stakeholders at all levels of the organization across various cultures and regions

Responsibilities

• Shape the strategic vision and roadmap for AI and ML initiatives, ensuring global alignment with business goals and cutting-edge technology trends
• Provide strong technical leadership in AI and ML engineering globally, particularly in areas like NLP, semantic search, summarization, and data-driven product development
• Lead and mentor a high-performing, globally distributed team of AI/ML engineers and data scientists
• Oversee the design and integration of complex AI and ML systems within our global software architecture
• Collaborate closely with MLOps, Platform Engineering, and Enterprise Data Platform teams to develop and optimize our global AI and ML infrastructure
• Collaborate closely with cross-functional teams, including product management, product engineering, and other business units, to align AI and ML initiatives with broader global company objectives
• Drive innovation in AI and ML practices on a global scale, continuously seeking opportunities to improve our technology stack, processes, and methodologies
• Ensure the integrity, performance, and security of AI/ML systems globally
• Play a key role in hiring, training, and retaining top engineering talent worldwide
• Foster a culture of belonging, psychological safety, and open communication within your global team and across the organization
• Apply Agile, Lean, and principles of fast flow to enhance team efficiency and productivity
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Preferred Qualifications

No preferred qualifications provided.