Director, AI Engineering and Delivery
Emerson•Shakopee, MN
•$202,000 - $252,000•Hybrid
About The Position
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.
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
Nice To Haves
- 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
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 fast paced innovation, technical excellence, collaboration and continuous learning.
- Oversee the design and architecture of AI/ML systems, AI pipelines, ensuring scalability, security, and alignment 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.
- 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, 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.
Benefits
- competitive base salary
- annual merit review process
- variety of medical insurance plans
- dental and vision coverage
- Employee Assistance Program
- profit sharing retirement
- tuition reimbursement
- employee resource groups
- recognition
- flexible time off plans
- paid parental leave (maternal and paternal)
- vacation and holiday leave
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What This Job Offers
Job Type
Full-time
Career Level
Director
