DevSecOps Engineer (MLOps / AIOps) at Arrow Electronics

The DevSecOps Engineer will lead the foundational setup of MLOps and AIOps functions, including architecture, tooling, governance, and workflows, aligned with business and data strategy. Responsibilities include defining and implementing the MLOps roadmap, standardizing the model development lifecycle, and architecting scalable pipelines using AWS-native services. They will establish the AIOps practice by implementing observability, automated incident response, and intelligent monitoring. The role involves selecting and integrating appropriate AWS services to build a flexible and secure MLOps and AIOps infrastructure, and collaborating with stakeholders to ensure the smooth operationalization of AI/ML models. Developing governance, monitoring, and compliance frameworks for the AI/ML lifecycle, designing and implementing model CI/CD workflows, and building data pipelines and feature engineering workflows on AWS are key duties. The engineer will also establish and evangelize best practices for model monitoring, drift detection, and continuous retraining, lead the adoption of AI copilots and Agentic AI, and develop a strategy for real-time data observability. Providing thought leadership and mentoring to build internal capability in MLOps and AIOps, and defining and implementing security-first principles for ML pipelines are also part of the role. Driving adoption of infrastructure-as-code for ML platform provisioning and reproducibility is expected.