Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes;
develops and reviews business cases for change and improvementDesign and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise dataTranslate business requirements into scalable system architectures and solution designsDevelop backend services and API-driven architectures to operationalize intelligent systemsImplement data and model pipelines integrating structured and unstructured data sourcesWork closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflowsApply agent-based workflows and multi-step orchestration to enable complex system behaviorEnsure systems are production-ready—scalable, reliable, secure, and performantContinuously improve system performance through testing, monitoring, and iterative refinementWork closely with business, product, Data Science,
and engineering teams to co-create solutions and align on outcomesTranslate ambiguous problems into structured requirements and actionable system designsEngage stakeholders regularly to refine solutions and drive adoptionCollaborate across teams to ensure integration with existing systems and enterprise standardsMaintain high-quality documentation and enable knowledge transfer and continuityTake ownership of delivery by managing enhancements, releases, and system evolutionStay current with industry trends and contribute to continuous improvement of team capabilitiesBachelor’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
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