AI Engineer leading design, development, and deployment of AI solutions at Rockwell Automation. Collaborating with cross-functional teams to drive business value and innovation in a hybrid work setting.
Responsibilities
Architect and implement end-to-end AI solutions that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability
Collaborate with data scientists, engineers, and business stakeholders to deliver AI-driven solutions from concept to production
Develop and implement advanced AI algorithms and machine learning models tailored to business needs
Define solution objectives and establish best practices for model development, testing, deployment, and lifecycle management
Ensure compliance with ethical AI standards, data privacy regulations, and industry best practices
Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning
Stay current with emerging trends in AI, ML, and data science, and proactively incorporate relevant innovations
Communicate architectural vision and promote adoption of AI solutions across the organization
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
5+ years of experience designing and implementing AI architectures in production environments
Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services
Strong programming skills in Python, R, Java, or similar languages
Deep understanding of data structures, algorithms, and software engineering best practices
Proven track record of delivering AI solutions that drive business outcomes
Experience leading cross-functional teams and managing complex projects
Strong communication and stakeholder management skills
Experience with ethical AI practices and data protection compliance.
Benefits
Calm premium membership for mindfulness
Volunteer Paid Time Off available after 6 months
Company donation matching program
Employee Assistance Program
Personalized wellbeing programs through OnTrack
On-demand digital course library for professional development
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