Principal AI Engineer

Overview

Lead the design, development, and deployment of enterprise AI solutions as a Principal AI Solution Developer within Donaldson's AI Center of Excellence, owning the full AI solution lifecycle.

What you'll do

• Serve as the technical leader inside AI-CoE, driving the architecture, design, and delivery of enterprise AI solutions, influencing global AI technology direction.
• Lead discovery sessions with business stakeholders to identify opportunities, define problem statements, assess process and data readiness, and translate business needs into scalable AI solutions.
• Lead the full AI solution lifecycle, from discovery, architecture, and prototyping through development, deployment, adoption, and continuous improvement.
• Partner closely with the global team to align and own enterprise AI architecture, engineering standards, and technology strategy.
• Architect, design and develop enterprise-grade AI solutions, including agentic AI systems, multi-agent workflows, tool integrations and workflow automations.
• Rapidly build and validate prototypes to demonstrate business value, accelerate decision-making, and guide investment priorities.
• Establish AI engineering standards, best practices, reusable frameworks, and development accelerators.
• Ensure AI solutions are secure, reliable, scalable, observable, and aligned with responsible AI principles.
• Evaluate emerging AI technologies, models, frameworks, and platforms, and provide recommendations on their applicability to enterprise use cases.
• Mentor and develop senior and junior AI engineers through architecture reviews, code reviews, solution design, and best-practice adoption.
• Collaborate with global AI, Data, IT, Security, and Architecture teams to drive successful AI adoption across the enterprise.
• Foster an AI-driven culture by enabling teams across the organization to build and scale AI solutions using approved standards and best practices.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
• 7+ years of software engineering experience in total
• 3+ years of experience designing and delivering AI, ML and Generative AI solutions in production environments
• Strong proficiency in Python and modern software engineering practices and AI frameworks
• Experience leading technical design, architecture decisions, and solution delivery
• Strong stakeholder management, communication, and problem-solving skills
• Proven ability to mentor developers and provide technical leadership across teams

Nice to have

• Experience with Azure AI Foundry, Azure OpenAI Service, Microsoft Agent Framework, LangChain, LangGraph, or similar technologies
• Experience with Snowflake Cortex AI and enterprise data platforms
• Experience with Copilot Studio, Power Platform, Microsoft 365 integrations, and enterprise automation
• Exposure to MLOps, LLMOps, AI observability, evaluation frameworks, and AI governance practices
• Experience integrating AI solutions with ERP, CRM, manufacturing, supply chain, or business applications
• Knowledge of AI security, data privacy, prompt injection risks, and responsible AI principles

Details

• Location: Gurgaon