AI Delivery Manager

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 the work 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 Summary: Rockwell Automation is seeking an AI Delivery Manager to design, develop, and operationalize Generative AI (GenAI) and Large Language Model (LLM) solutions that deliver measurable business value. This role owns GenAI solutions end‑to‑end for defined use cases and applies strong technical judgment to ensure solutions are reliable, scalable, and adopted in production. The AI Delivery Manager operates with minimal guidance, works hands‑on across the solution lifecycle, and collaborates closely with business and technical partners to translate GenAI capabilities into real outcomes. You will report to SENIOR DIRECTOR, DIGITAL TRANSFORMATION and will be based in Bengaluru working in hybrid. Your Responsibilities: GenAI Solution Ownership You will design and develop GenAI applications, including RAG pipelines, prompt orchestration, and agent‑based workflows, with supporting Python automation where appropriate. Select appropriate models, tools, and frameworks based on quality, latency, cost, and security requirements. Build GenAI solutions from design through production deployment and iteration for assigned use cases. Define solution architectures aligned with enterprise AI platforms, standards, and guardrails. Establish and apply best practices for prompt design, evaluation, testing, and versioning. Ensure solutions meet expectations for reliability, scalability, and maintainability in production. Implement automated build, test, deployment, monitoring, and feedback practices for GenAI solutions. Incorporate user feedback, usage insights, and operational signals to improve solution quality and drive adoption. Ensure solutions comply with enterprise AI policies and risk controls throughout development and deployment. Partner with business and domain stakeholders during problem framing and solution ideation to identify high‑value GenAI use cases. Translate business needs into technical solutions and communicate tradeoffs clearly to technical and non‑technical stakeholders. Mentor AI engineers and associates working on GenAI and LLM‑based systems. Enable non‑software practitioners to effectively use GenAI‑powered and low‑code/no‑code tools through clear guidance. The Essentials - You Will Have: