Director, AI Engineering and Delivery
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · DevOps
I korthet
The Director, AI Engineering & Delivery leads a multidisciplinary team to design, build, deploy, and maintain AI/ML systems. This role requires technical leadership, people management, and execution oversight to ensure innovative and reliable AI products are integrated into the global portfolio. Responsibilities include team leadership, technical architecture, AI/ML development and delivery, MLOps, and ensuring AI systems meet governance, ethics, and compliance requirements.
Ansvarsområden
- 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 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 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.
Krav
- 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
Önskade kvalifikationer
- 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
Förmåner
- 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
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Företag
Emerson
Publicerade jobb
för 3 veckor sedan
Anställningstyp
Heltid
Arbetsform
Hybrid
Erfarenhetsnivå
Direktör
Platser
Shakopee, United States
Boulder, United States
Houston, United States
St. Louis, United States
Kvalifikation
Kandidatexamen, Masterexamen
Sökande
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