Senior AI Engineer

Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities. ​   About the Role: The AI Center of Excellence (AI CoE) is seeking a Senior AI Engineer to lead the design, development, and deployment of enterprise AI solutions that create measurable business impact across the organization. This is a senior individual contributor role within the AI Center of Excellence (AI CoE) for an experienced engineer who thrives in ambiguity and enjoys turning complex business challenges into scalable AI solutions. You will work closely with Principal AI Engineers, enterprise architects, business stakeholders, and product teams to drive AI initiatives from concept through production. As a key member of the AI CoE, you will lead end-to-end solution development, including architecture, development, integration, evaluation, deployment, governance, and operationalization of AI solutions. You will also help establish engineering best practices, reusable frameworks, and standards that accelerate AI adoption across the enterprise. This role is ideal for a builder who enjoys ownership, technical leadership, and creating innovative solutions in a rapidly evolving AI landscape.

Lead the end-to-end delivery of AI and Generative AI solutions, taking ownership from business discovery and solution design through deployment and operational support. Work directly with business stakeholders to identify opportunities, define requirements, prioritize use cases, and translate business challenges into practical AI solutions. Design scalable solution architectures leveraging LLMs, RAG, AI agents, enterprise knowledge sources, APIs, workflow automation, and cloud services. Develop and deploy production-grade AI applications, services, and copilots using Python, Azure AI, Azure OpenAI, Snowflake, and related enterprise technologies. Drive technical decisions across AI projects, evaluating architecture options, implementation approaches, trade-offs, risks, and long-term maintainability. Establish and implement testing, evaluation, and monitoring practices to ensure AI solutions are accurate, reliable, secure, and production ready. Collaborate with architects, data engineers, platform teams, security teams, and business partners to successfully integrate AI capabilities into enterprise systems and processes. Build reusable frameworks, accelerators, templates, and engineering standards that improve delivery speed and enable scalable AI adoption across the organization. Provide technical leadership through architecture reviews, design guidance, code reviews, technical coaching, and sharing best practices across the AI CoE. Continuously evaluate emerging AI technologies and recommend innovative solutions that deliver measurable business value and strategic advantage Minimum Qualifications: Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 4-6 years of relevant professional experience in AI, machine learning, data, or software engineering with min 1 year of hands-on experience designing, developing, and deploying AI, Machine Learning, or Generative AI solutions end-to-end. Strong Python development skills and experience with software engineering principles including modular design, API development, testing, version control, secure coding practices, system integration, and maintainable application architecture. Strong understanding of modern Gen AI architectures including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, evaluation frameworks, deterministic orchestration and AI solution