Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior ML Engineer, AI-Driven SDLC Quality”. A match may be a passing mention rather than the job itself. Titles only.
15 roles
…As a Senior Machine Learning Engineer on the CodeAI team, you will be instrumental in conceptualizing, developing, and scaling AI-driven agents and workflows…
…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…
…quality, classification, retention, and localization controls Experience shaping and executing AI and Generative AI strategy within a technology organization — including LLM integration patterns, MLOps…
…enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code…
…Build persona-driven dashboards and evaluation pipelines to assess model performance, latency, and quality across diverse hardware configurations. Develop and deploy AI/ML software…
…systems, and understanding of LLM integration, prompt engineering, and RAG (Retrieval-Augmented Generation) Familiarity with AI/ML model building, deployment, and lifecycle management using…
…and AI/ML use cases through trusted, high-quality data Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM…
…the shift toward an Agentic SDLC, where AI agents and humans collaborate seamlessly to build better software. As a Software Engineer on this squad…
…comprehensive AI-driven digital product delivery transformation strategies for enterprise customers adopting Amazon Kiro and AWS Gen AI services, addressing SDLC modernization, engineering culture…
…record of mentoring senior engineers toward Principal-level scope and judgment • Rapid experimentation: building simulation/forecasting frameworks or ML-driven recommendation systems • International expansion…
…Sets and enforces design principles, patterns, and guardrails across portfolios Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring…