AI/Machine Learning Engineer

• Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement


• Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data


• Translate business requirements into scalable system architectures and solution designs


• Develop backend services and API-driven architectures to operationalize intelligent systems


• Implement data and model pipelines integrating structured and unstructured data sources


• Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows


• Apply agent-based workflows and multi-step orchestration to enable complex system behavior


• Ensure systems are production-ready—scalable, reliable, secure, and performant


• Continuously improve system performance through testing, monitoring, and iterative refinement


• Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes


• Translate ambiguous problems into structured requirements and actionable system designs


• Engage stakeholders regularly to refine solutions and drive adoption


• Collaborate across teams to ensure integration with existing systems and enterprise standards


• Maintain high-quality documentation and enable knowledge transfer and continuity


• Take ownership of delivery by managing enhancements, releases, and system evolution


• Stay current with industry trends and contribute to continuous improvement of team capabilities

Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems