Director, AI Engineering and Delivery

• 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.

• 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.; passionate about leveraging AI to improve efficiency and productivity
• Experience with cloud platforms (Azure, AWS, GCP) and/or managed AI/ML services
• Ability to travel up to 10% domestically and internationally

• 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 Tensor Flow, PyTorch, Scikit-learn
• Strong problem-solving, communication, and architectural thinking
• Comfort working in ambiguous environments with emerging technologies

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-$252,000annually, 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.

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether…