AI Delivery Manager

Overview

Design, develop, and operationalize Generative AI (GenAI) and Large Language Model (LLM) solutions that deliver measurable business value, owning solutions end-to-end for defined use cases.

What you'll do

• 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.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• 5+ years of professional experience in software engineering, AI/ML, or applied data systems.
• Strong proficiency in Python and experience building production-grade services.
• Hands-on experience designing and deploying GenAI / LLM-based applications.

Nice to have

• Experience with RAG pipelines, vector databases, and GenAI evaluation techniques.
• Familiarity with cloud-native architectures and production deployment practices.
• Demonstrated ability to influence technical decisions and collaborate across teams.

Details

• Based in Bengaluru, India.
• Hybrid work: 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.
• Reports to Senior Director, Digital Transformation.