Senior AI Engineer

Job Description

Senior AI Engineer

Location: Pune / Noida / Bengaluru, India (Hybrid)

As an AI Engineer, you will contribute to the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will work closely with cross-functional teams including data scientists, software engineers, and partners to build scalable, secure, and ethically responsible AI systems.

You will report to TECHNICAL LEADER - AI

• Develop AI Solutions: Build and implement AI models and pipelines that integrate with existing IT and data infrastructure, ensuring performance, scalability, and maintainability.
• Collaborate Across Teams: Work with data scientists, engineers, and business teams throughout the AI solution lifecycle from ideation and prototyping to deployment and monitoring.
• Technology Evaluation: Explore and recommend AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, cloud AI services) that align with project goals and technical feasibility.
• Follow Best Practices: Apply standards for model development, testing, deployment, and lifecycle management, with a focus on ethical AI and data privacy compliance.
• Support and Learn: Receive mentorship from senior AI leaders while contributing to the organizations AI strategy and adoption.

The Essentials - You Will Have:

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5+ years of experience developing and deploying AI/ML models in production environments.
• Hands-on experience with frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML).
• Strong programming skills in Python, R, Java, or similar languages.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Exposure to cross-functional collaboration and delivering AI solutions that support business outcomes.

The Preferred - You Might Also Have:

• Experience deploying AI models on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud setups.
• Familiarity with MLOps practices for continuous integration, deployment, and monitoring.
• Ability to translate business requirements into scalable technical solutions.
• Interest in mentoring and growing within AI or data science teams.

What We Offer:

Our benefits package includes

• Comprehensive mindfulness programs with a premium membership to Calm
• Volunteer Paid Time off available after 6 months of employment for eligible employees
• Company volunteer and donation matching program - Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
• Employee Assistance Program
• Personalized wellbeing programs through our OnTrack program
• On-demand digital course library for professional development

... and other local benefits!

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Rockwell Automation s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.