…As a Senior Machine Learning Engineer on the CodeAI team, you will be instrumental in conceptualizing, developing, and scaling AI-driven agents and workflows…

…Experience leveraging AI/ML in engineering and quality processes (e.g., automated testing, AI-driven insights, intelligent monitoring). 5+years of experience in DevOps…

…Responsibilities Lead AI-Native Engineering Practices Across the SDLC by Driving disciplined adoption of AI-assisted development across requirements, design, coding, and testing. Ensure…

…Understanding of event-driven architectures, messaging queues (Kafka, RabbitMQ), and micro-services validation. Exposure to AI/ML-assisted testing tools, GenAI integrations, and modern…

…assisted engineering culture (“vibe”) - enabling rapid iteration, AI pair‑programming, explain‑as‑you‑build workflows, and high‑velocity delivery without compromising engineering quality. Strong…

…AI/ML platform exposure (MLOps, feature engineering, model hosting/operationalization; AWS and/or hybrid on-prem + cloud). Preferred qualifications, capabilities, and skills: Strong communication…

…As a Senior Principal Software Engineer at JPMorganChase within the CDAO AI/ML Data Platforms Team, you provide deep engineering expertise and work across…

Shape the future of AI/ML at JPMorganChase — where innovation meets enterprise-scale impact. If you're a Senior Lead Software Engineer who takes…

Lead end-to-end architecture and execution across SDLC standards, engineering tooling, and agentic AI operations As a Senior Lead Software Engineer at JPMorgan…

…comprehensive AI-driven digital product delivery transformation strategies for enterprise customers adopting Amazon Kiro and AWS Gen AI services, addressing SDLC modernization, engineering culture…

…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…

…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…

…in Engineering, Computer Science, Business, or a related domain Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions…

…Driven Application Development Build AI‑driven, cloud‑native applications with intelligence embedded into core workflows. Hands‑on use of GitHub Copilot across the SDLC…

…technologies (OCR etc) - Experience with event driven architecture/technologies (RabbitMQ, Kafka, BullMQ, etc) - Experience with ML and AI training frameworks (PyTorch, TensorFlow, etc.) - Experience…

…Design, optimize, and evaluate AI-driven security capabilities, leading the identification of AI opportunities across fraud and abuse engineering including direct coding and model…

…software, hardware, AI/ML, cybersecurity, cloud platforms, open source, privacy, Responsible AI, and compliance. * Understanding of Microsoft’s engineering systems, SDLC, security requirements, and…

…Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and…

…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…

…in software engineering concepts and 8+ years of applied AI/ML experience. Strong understanding of the Software Development Life Cycle (SDLC), Data Structures, Algorithms…

…Driven Application Development Build AI‑driven, cloud‑native applications with intelligence embedded into core workflows. Hands‑on use of GitHub Copilot across the SDLC…

…integrating AI models, data pipelines, and telemetry systems to automate workflows. Champion Engineering Excellence: Perform rigorous code and design reviews, write high-quality automated…

…Serve as a subject matter expert in data engineering, platform architecture, and AI/ML, actively contributing to the engineering community and advocating firmwide SDLC…

…AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI…

…AI and agentic workflows, enabling data-driven and automated security posture management. Program Oversight: In collaboration with the InfoSec TPM and other Engineering leads…