Director, Agentic AI

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!

Job Description

As the Director of Agentic AI Architecture at Rockwell, you will be an influential technical leader, responsible for defining, championing, and executing the overarching architectural vision and technical roadmap for our most cutting-edge and complex Artificial Intelligence initiatives. You will operate as a hands-on expert while providing strategic guidance, with an emphasis on designing and implementing advanced agentic AI systems that exhibit robust autonomy, sophisticated self-learning capabilities. This pivotal role will shape the future of Rockwell's AI-powered products and services, requiring you to work extensively with cross-functional executive and technical teams to translate business objectives into groundbreaking, scalable, and highly innovative agentic AI solutions.

• Agentic AI Architectural Vision & Strategy: Define and drive the agentic AI architectural vision and strategy, pioneering and implementing agentic AI systems that push the boundaries of autonomy, self-learning, and complex decision-making
• Next-Generation Solution Design Leadership: Lead the architectural design and implementation of highly scalable, high-performance agentic AI systems, focusing on the interactions between agent components and their seamless integration with diverse external data sources and tools.
• Technology Leadership: Evaluate and recommend emerging AI/ML technologies, frameworks, and platforms, especially those related to Multi-Agent Systems (MAS), reinforcement learning, autonomous decision-making, and the implementation of open standards such as the Model Context Protocol (MCP) for enhanced AI interoperability.
• Scalability and Performance: Design agentic AI systems with a focus on scalability, reliability, performance, and cost-efficiency, ensuring they can handle massive datasets and high traffic.
• Data Architecture: Collaborate with data engineering teams to define data ingestion, storage, processing, and governance strategies that support agentic AI system development and deployment.
• MLOps for Agentic Systems: Architect robust and efficient model deployment, monitoring, and management of interacting agents and their collective behavior, including tracking emergent properties and system-level performance.
• Collaboration and Communication: Partner closely with product managers, engineering leaders, research scientists, and other stakeholders to understand requirements, articulate architectural options, and provide technical guidance.
• Technical Guidance and Mentorship: Provide technical leadership and mentorship to AI/ML engineers and scientists, fostering a culture of innovation.
• Risk Management and Compliance: Identify and mitigate technical risks associated with agentic AI systems, ensuring compliance with security, privacy, and ethical guidelines.

• Bachelor's Degree or Equivalent Years of Relevant Work Experience
• Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• The ability to travel up to 30 % of the time.

• Master's degree in Computer Science, Engineering, or a related field.
• Typically requires 12 years management experience.
• 10+ years of experience in designing and implementing large-scale software systems, with a significant focus on Artificial Intelligence and Machine Learning.
• Deep understanding of fundamental AI/ML concepts, algorithms, and frameworks, with expertise in frameworks for building and managing agentic systems and integrating them with data and tools using industry standards such as the Model Context Protocol (MCP).
• Experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure Machine Learning).
• Strong knowledge of data engineering principles and technologies (e.g., Spark, Beam, Kafka, Flink, Lakehouses, Delta etc).
• Experience with MLOps practices and tools for model deployment, monitoring and management including containerization and orchestration.
• Experience with RAG; frameworks, tools, fine-tuning and integrating vector databases with LLMs.
• The ability to effectively articulate technical concepts to both technical and non-technical audiences.
• Experience implementing AI standards including ethical considerations and responsible AI practices.

• Health Insurance including Medical, Dental and Vision
• 401k
• Paid Time off
• Parental and Caregiver Leave
• Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
• To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

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For this role, the Base Salary Compensation is from $208,000.00 - $312,000.00 with an annual target bonus of 20% of base salary. Our benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience.

We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.