Director, AI Engineering and Delivery
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · DevOps
In short
The Director, AI Engineering & Delivery leads a multidisciplinary team to design, build, deploy, and maintain AI/ML systems. This role requires technical leadership, people management, and execution oversight to ensure innovative and reliable AI products are integrated into the global portfolio. Responsibilities include team leadership, technical architecture, AI/ML development and delivery, MLOps, and ensuring AI systems meet governance, ethics, and compliance requirements.
Responsibilities
- 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 innovation, technical excellence, collaboration, and continuous learning.
- Oversee the design and architecture of AI/ML systems and pipelines, ensuring scalability, security, and alignment with Enterprise AI and broader software ecosystems.
- Collaborate with data engineering to ensure data infrastructure supports AI/ML applications.
- Partner with AI Product Owners and Solution Managers to translate business requirements into technical roadmaps.
- 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.
- 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.
- 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 technology
- 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
Desired 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, within the local market
- Annual merit review process
- Variety of medical insurance plans, with dental and vision coverage
- Employee Assistance Program
- Profit sharing retirement
- Tuition reimbursement
- Employee resource groups
- Recognition programs
- Work-life balance
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation and holiday leave
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Company
Emerson
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Director
Locations
Shakopee, United States
Boulder, United States
Houston, United States
St. Louis, United States
Qualification
Bachelor, Master
Applicants
Be an early applicant