Director, AI Engineering and Delivery

hackajob is collaborating with Emerson to connect them with exceptional professionals for this role.

About the role

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.

Responsibilities

• 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 and AI 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.
• 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, and 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.

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 technologies.
• 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

• Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Deep technical expertise balanced with a 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 with annual merit-based performance rewards.
• Variety of medical insurance plans, including dental and vision coverage.
• Employee Assistance Program.
• Profit-sharing retirement plan.
• Tuition reimbursement.
• Employee resource groups and recognition programs.
• Paid parental leave (maternal and paternal).
• Vacation and holiday leave with flexible time-off plans.

Pay

The salary range for this role is $202,000–$252,000 annually, commensurate with skills, talent, capabilities, and experience.