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Donaldson is seeking a Senior AI Developer to lead design, development, and operation of AI/GenAI solutions across multiple business domains. You will drive the lifecycle from architecture to deployment, collaborating with enterprise teams to scale AI frameworks and ensure governance and observability.
The role focuses on creating reusable AI patterns, prompt libraries, and scalable workflows, while mentoring the AI CoE and staying ahead of GenAI advances in enterprise environments.
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.
We are seeking a skilled Senior AI Developer to join our AI Center of Excellence (AI CoE) team drive enterprise-wide adoption of advanced AI technologies.
In this position, the position will play a pivotal role in designing, developing, and operationalizing impactful AI solutions across customer engagement, knowledge management, e-commerce, market intelligence, and business operations. The candidate will lead the entire lifecycle of AI solution development, from initial design and architecture through deployment, governance, and integration, utilizing Generative AI, enterprise platforms, and agent-based architecture.
In this role the candidate will work closely with business teams, enterprise architects, data teams, and product stakeholders to design reusable AI frameworks, accelerators, templates, and best practices that can scale across the organization
Design, develop, and deploy scalable AI agents and enterprise-grade AI/GenAI solutions tailored to business requirements.
Integrate agent capabilities into software applications and workflows via APIs and authorized platform interfaces.
Translate business needs into scalable AI solutions and architectural frameworks.
Foster development of reusable frameworks, templates, prompt libraries, and accelerators.
Support production readiness through monitoring, incident management, and model/agent behavior analysis.
Document solution functionalities, known limitations, and recommended usage practices.
Contribute to governance, scalability, and production readiness of AI solutions.
Mentor team members and assist in building internal capabilities across the AI CoE.
Maintain current knowledge of developments in AI, GenAI, and agent-based systems.
Construct AI-driven workflows employing prompt patterns, retrieval augmentation (RAG), semantic search, and agent-basedarchitectures aligned with organizational standards.
Define and implement comprehensive evaluation methods including quality assurance, hallucination testing, safety/toxicity assessments, and robustness validation.
Master's or Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
4-6 years of proven experience in software development, including API integration and production deployment.
Demonstrated expertise in Python, SQL, and enterprise AI application development.
Experience delivering GenAI solutions, encompassing prompting, retrieval augmentation, evaluation, and workflow integration.
Ability to collaborate effectively with platform, data, security, and business stakeholders.
Experience with Azure AI (Foundry/SDKs) and Snowflake (Cortex AI).
Background in developing multi-step agents and production evaluation tools.
Familiarity with enterprise governance controls for GenAI (privacy, safety, auditability).
Experience optimizing inference costs/latency and implementing observability for AI features.
Strong analytical and problem-solving abilities.
Excellent communication and stakeholder management skills.
Capacity to thrive in agile, fast-paced environments.
Collaborative approach and leadership potential.
Commitment to continuous learning and skill development.
Effective task prioritization and project management across multiple initiatives.
Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.
Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.