Director, AI Engineering and Delivery

About the role

The Director, AI Engineering & Delivery leads a multidisciplinary team of machine learning engineers, data scientists, software engineers, and MLOps/DevOps specialists to design, build, deploy, and maintain AI/ML systems. This role bridges technical leadership, people management, and execution readiness, ensuring AI products are innovative, reliable, scalable, maintainable, and integrated seamlessly into our global AI product portfolio.

Responsibilities

• Team leadership & management
  • Lead, mentor, and grow a team of AI/ML engineers, software developers, and MLOps engineers.
  • Conduct regular performance evaluations, provide coaching, and oversee career development.
  • Foster a culture of fast-paced innovation, technical excellence, collaboration, and continuous learning.
• Technical architecture and design
  • Oversee the design and architecture of AI/ML systems and AI pipelines, ensuring scalability, security, and alignment with Enterprise AI and broader software ecosystems.
  • Collaborate with data engineering to ensure the data infrastructure supports AI/ML applications.
  • Partner with AI Product Owners and Solution Managers to translate business requirements into technical roadmaps.
• AI/ML development & delivery
  • Manage project timelines, scope, risks, and dependencies across AI engineering initiatives.
  • Oversee and ensure the team follows best practices for model development, versioning, testing, validation, and deployment.
  • Define and enforce engineering standards for code quality, documentation, and development tools.
  • Communicate progress, challenges, and technical decisions to leadership and stakeholders.
• MLOps & deployment
  • Ensure scalable, secure, and maintainable infrastructure for AI applications.
  • Establish and champion MLOps best practices, including CI/CD pipelines for ML, automated testing, model registry and monitoring, and versioning.
• Governance, ethics & compliance
  • Ensure AI systems meet security, privacy, and compliance requirements.
  • Promote responsible AI practices around fairness, transparency, and auditability.

Requirements

• Bachelor’s in computer science, Data Science, Engineering, or related field (or equivalent experience).
• 5+ years of experience in software engineering, AI/ML engineering, or related domains.
• 2+ years leading technical development or engineering teams.
• Proficiency in Python and other coding technologies.
• Experience with cloud platforms (Azure, AWS, GCP) and/or managed AI/ML services.
• Hands-on experience with DevOps/MLOps (GitHub Actions, Azure ML, AWS Sagemaker, Kubernetes, Docker).
• Authorized to work in the United States without sponsorship now and in the future.

Preferred Qualifications

• Master’s degree in computer science, Data Science, Engineering, or related field.
• Deep technical expertise balanced with practical delivery mindset.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Strong problem-solving, communication, and architectural thinking.
• Comfort working in ambiguous environments with emerging technologies.

Benefits

• Competitive base salary with annual merit-based performance rewards.
• Comprehensive medical, dental, and vision insurance plans.
• Employee Assistance Program (EAP).
• Profit-sharing retirement plan.
• Tuition reimbursement.
• Employee resource groups and recognition programs.
• Paid parental leave (maternal and paternal).
• Flexible time off plans, including vacation and holiday leave.

Pay

The salary range for this role is $202,000–$252,000 annually, commensurate with skills, talent, capabilities, and experience.

About Us

Emerson is a global leader in automation technology and software. Through deep domain expertise and flawless execution, we help customers in critical industries like life sciences, energy, power and renewables, chemical, and advanced factory automation operate more sustainably while improving productivity, energy security, and reliability. We foster an inclusive, innovative, and collaborative workplace where every employee is valued, respected, and empowered to grow. Our commitment to ongoing career development and a diverse culture ensures you have the support to thrive and make a lasting impact.