Director, AI Engineering and Delivery

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · DevOps

In short

Director, AI Engineering & Delivery oversees a team of machine learning engineers, data scientists, and software engineers to design, build, and deploy AI/ML systems. This hybrid role in Shakopee, MN, focuses on technical leadership, people management, and ensuring AI products are innovative and reliable.

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 and 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.
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
Hands-on experience with AI tools, including Claude, Copilot, Gemini, etc.
Experience with cloud platforms (Azure, AWS, GCP) and/or managed AI/ML services
Ability to travel up to 10% domestically and internationally

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.

Skills

Machine LearningDevOpsCloud ComputingPythonTensorFlowPyTorchScikit-learnAzureAWSGCP

#AI#Machine Learning#Engineering#Delivery#Leadership#Management#Software Development#MLOps#DevOps#Cloud

About Emerson

Emerson is a leading global technology, software, and engineering company providing innovative solutions for customers in industrial and commercial markets. We help customers in the world’s most essential industries solve the biggest challenges of modern life. Every day, our global workforce fulfills our unified Purpose and lives out the Values we hold close as an organization: Integrity, Safety & Quality, Support Our People, Customer Focus, Continuous Improvement, Collaboration, and Innovation. Across the globe, we are united by a singular Purpose: We drive innovation that makes the world…

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