Job Description

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 int our global AI product portfolio.

In This Role, Your Responsibilities Will Be:

• 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, 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.
• 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, 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.

For This Role, You Will Need:

• 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

Preferred Qualifications That Set You Apart:

• 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

Our Culture & Commitment to You:

Our compensation philosophy is simple: we pay a competitive base salary, within the local market in which we operate, and reward performance during our annual merit review process. The salary range for this role is $202,000-$252,000 annually, commensurate with the skills, talent, capabilities, and experience each candidate brings to a role.

This position will be open for a minimum of 7 days from the day of posting. Applicants are encouraged to apply early to receive efficient consideration. In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Emerson will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible.

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