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Job Description About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Job Description What is the opportunity? Deploying AI at scale in Canada's largest bank is the opportunity of a lifetime. This role focuses on bringing together the core ingredients of a scalable agentic AI…
Who We Are Looking For We are seeking an experienced, hands-on Lead AI Engineer to join State Street’s Anti-Money Laundering (AML) Compliance Technology team. You will lead the design, development, and production…
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
Enterprise IT AI Solution Architect The Opportunity: Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business…
Legal, Ethics & Compliance AI Solution Architect The Opportunity: Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address…
Supply Chain AI Solution Architect The Opportunity: Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business…
The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives…
At Globe Life, we are committed to empowering our employees with the support and opportunities they need to succeed at every stage of their career. We take pride in fostering a caring and innovative culture that…
Outside Sales Product Specialist - Data Management At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of…
Key Responsibilities Design, develop, and maintain responsive, high-quality web applications across the full stack. Collaborate with product managers and designers to translate business requirements into technical…
Tasks Role purpose We are looking for an AI Solution Architect who can design end-to-end AI and Generative AI solutions and guide them from business discovery to production readiness. The role requires strong…
The Forward Deployed Engineer will build and deploy AI-driven solutions, working with technologies like LLMs, RAG, and vector databases. This role involves end-to-end feature development and technical collaboration in an onsite environment.
Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, Airflow, and Spark.
The Lead Full Stack Developer will lead a team in building and architecting secure digital banking platforms using Angular, Node.js, and AWS serverless technologies. The role involves integrating Generative AI and LLM capabilities into enterprise workflows while ensuring compliance with financial regulations.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
This role involves full-stack development with a focus on building AI-integrated products and user-centric design. The developer will work with LLMs, Generative AI, and modern web technologies to create responsive, AI-powered user experiences.
Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.
This role involves building and maintaining full-stack cloud applications for Generative AI, primarily using Python or .NET on Microsoft Azure. The developer will own the full lifecycle of AI-powered solutions, including RAG and agent-based architectures, while occasionally contributing to React/Next.js frontends.
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