Top AI & Machine Learning Jobs

As a Senior Data Scientist, you'll collaborate globally to develop advanced analytics, build machine learning solutions, and automate predictive models for product optimization.

The role involves evolving AI intake processes, improving user experience, and collaborating with various teams to drive AI engagements across the enterprise.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, and AI tooling to improve developer productivity. Build cloud-native services with reliability, observability, security, and CI/CD. Partner with product, data science, and engineering to move prototypes to production and drive platform-level engineering improvements.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.

Lead hands-on design and delivery of agentic AI applications and platform capabilities. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve AI-enabled developer workflows, ensure security, observability, resiliency and cost control, mentor engineers, and collaborate with product, data science, and security teams to move prototypes to governed production.

Design and build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Implement AI-enabled apps and integrations, evaluate models and frameworks, improve developer experience through automation, and prototype and scale solutions in collaboration with product and engineering stakeholders.

Build and scale agentic AI tooling, services, and integrations. Design AI-enabled applications and developer workflows, evaluate models and frameworks, prototype products, and improve developer experience through automation and platform-level patterns.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply AI and agentic patterns to improve developer productivity across the SDLC, build cloud-native services, automate PDLC/CI-CD workflows, and partner with product and data science to deliver secure, reliable, production AI solutions.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns for reliability, observability, security, and cost control. Drive end-to-end SDLC, mentor engineers, collaborate with AI, product, and platform teams, and operationalize AI solutions from prototype to governed production.

Lead hands-on design and delivery of agentic, AI-powered applications and cloud-native services. Define engineering patterns, ensure reliability, security, observability and cost controls, drive end-to-end SDLC, mentor engineers, and collaborate with Product, Applied AI, Data Science and platform teams to move AI solutions from prototype to governed production.