Lead, coach, and develop a team of AI Engineers, including team leads and senior engineers
Establish clear goals, performance expectations, and development plans aligned with AI Engineering career frameworks
Foster a culture of technical excellence, accountability, inclusion, and continuous improvement
Support hiring, onboarding, and team capacity planning to meet delivery and growth objectives
Provide regular feedback, mentorship, and succession planning for key technical and leadership roles
Own delivery of multiple concurrent AI initiatives, ensuring solutions are scalable, reliable, and production-ready
Guide architecture and design decisions for AI systems, pipelines, and platforms in partnership with senior engineers
Ensure best practices across model development, deployment, monitoring, and AI lifecycle management
Drive operational excellence, including reliability, performance, cost efficiency, and incident management
Partner with product, data science, engineering, and business leaders to translate business needs into AI solutions
Contribute to AI Engineering strategy, roadmaps, and prioritization decisions
Communicate progress, risks, and trade-offs clearly to leadership and stakeholders

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
5+ years of experience in software engineering, AI engineering, or applied AI roles
3+ years of people management experience or team lead, including leading senior technical contributors
Demonstrated experience delivering and operating production AI systems at scale
Strong understanding of AI engineering concepts such as model deployment, data pipelines, system reliability, and AI lifecycle management
Proven ability to lead teams, influence stakeholders, and deliver results in complex environments

Senior Manager, Machine Learning Engineering

Key skills