Vice President - AI Lead

Job Description

Roles and Responsibilities: Lead the design, development, and deployment of end-to-end AI/ML systems in production environments. Build and guide high-performing AI teams, fostering innovation and engineering excellence. Drive reliability, scalability, and maintainability in AI solutions across the full delivery lifecycle. Collaborate with cross-functional teams including data, platform, and full-stack engineers to deliver integrated AI solutions. Champion best practices in MLOps, including CI/CD for ML, model versioning, deployment, and monitoring. Ensure AI solutions are well-architected, reusable, and aligned with business processes and enterprise architecture standards. Participate in engineering reviews and drive reusability, quality, and continuous improvement. Navigate and deliver solutions amidst evolving business priorities and ambiguity, with a strong bias for action. Engage with industry forums and stay ahead of emerging AI trends, technologies, and regulatory concerns. Advocate for ethical and responsible AI practices, ensuring privacy, security, and model explainability. Experience Requirements: Proven track record in leading the development and productionization of advanced AI/ML systems. Strong leadership experience in managing and mentoring AI/ML teams. Hands-on expertise with deep learning, NLP, LLMs, and classical ML techniques. Solid experience with cloud platforms (GCP, AWS, or Azure), production ML pipelines, and MLOps practices. Familiarity with large-scale datasets, distributed processing (e.g., Spark, Beam), and real-time data environments. Extensive experience in model experimentation, tuning, optimization, and statistical evaluation. Proficient in working with APIs, full-stack system integration, and delivering AI features in productized environments. Knowledge of ethical AI, privacy-aware development, and secure model deployment practices.