AI Engineering Manager

AI Engineering Manager

Responsibilities

• Serve as the senior technical authority for the AI engineering team, guiding architecture, design and implementation of scalable, reliable and secure AI systems
• Dedicate significant time to hands-on development, including coding, code reviews and architecting complex systems
• Drive modernization of legacy systems by integrating AI capabilities such as RAG systems, code generation and multi-agent workflows
• Oversee the entire AI project lifecycle, from conception and experimentation to production deployment and optimization
• Establish and enforce best practices for the software development lifecycle, including agile methodologies, CI/CD and automated testing
• Collaborate with executive leadership and product management to define AI strategy and roadmap, ensuring alignment with business objectives
• Make critical build-vs-buy decisions regarding AI tools and platforms
• Manage departmental budgets, resource allocation and vendor relationships
• Communicate technical concepts, project progress and risks to both technical and non-technical stakeholders
• Lead, mentor and grow a team of AI engineers, fostering a culture of innovation, collaboration and continuous learning
• Oversee hiring, onboarding and career development of engineering talent

Requirements

• 13-15 years of experience in software engineering, with a significant portion dedicated to AI, machine learning or data science
• 5-8 years of experience in a leadership or management role, leading high-performing engineering teams
• Extensive hands-on expertise in Python, Java or C++
• Deep expertise in machine learning, deep learning, natural language processing and generative AI
• Proven experience designing and building scalable AI infrastructure and MLOps/LLMOps pipelines on cloud platforms such as AWS, Azure and GCP
• Strong background in system design, microservices architecture and API development
• Bachelor's or Master's degree in Computer Science, Engineering or related field (PhD is a plus)

Nice to have

• Experience in a "player-coach" role, with a desire to stay hands-on with technology
• Track record of delivering large-scale, complex AI projects from start to finish
• Excellent problem-solving skills and ability to navigate ambiguity
• Strong communication and interpersonal skills