Lead the planning, execution, and delivery of multiple AI initiatives, ensuring projects meet scope, timelines, quality expectations, and business objectives
Mentor and support AI Engineers by setting clear direction, providing coaching, and building a high-performing project team
Partner with stakeholders across product, science, clinical, operations, and engineering to define requirements, priorities, milestones, risks, and success metrics
Translate stakeholder needs into technical roadmaps, delivery plans, and resourcing strategies for AI-powered products and platforms
Guide solution design, software development, model integration, testing, deployment, and operational support across the AI project portfolio
Drive strong AI research and engineering practices across the team
Coordinate dependencies, remove blockers, and communicate project status, risks, and tradeoffs clearly to leadership and stakeholders
Balance innovation and experimentation with execution discipline, scalability, reliability, and compliance considerations
Contribute to hiring, onboarding, team planning, and continuous improvement of delivery processes and engineering standards

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
7+ years of experience in software engineering, AI engineering, machine learning, or related technical roles
2+ years of experience leading teams, technical programs, or cross-functional delivery efforts
Demonstrated success delivering AI/ML or data-driven software solutions from concept through production
Strong proficiency in Python and familiarity with modern AI/ML tooling, backend services, APIs, and data pipelines
Experience with cloud-based architectures and production deployment of software or AI solutions
Proven ability to work effectively with technical and non-technical stakeholders and drive alignment across competing priorities
Strong people leadership, communication, planning, and problem-solving skills
Commitment to high-quality, secure, scalable, and maintainable solutions
Experience in healthcare, life sciences, biotech, or other regulated environments is a plus
Familiarity with generative AI, LLM-enabled workflows, retrieval systems, or AI-assisted product capabilities is a plus

AI Engineering Lead

Key skills