Top Artificial Intelligence Jobs

As an AI Engineering Intern, you will use Python and TypeScript to automate tasks, assist in building internal tools, and create AI workflows to streamline business processes within Guidewire's cloud platform.

Lead product strategy for data and AI solutions, drive analytics, manage integrations, and improve decision-making in health-tech.

Lead AI product strategy and roadmap for DeepIntent's DSP, driving AI-enabled automation, collaboration with engineering/data/UX, metrics-driven delivery, and customer-focused solutions to improve campaign setup, management, and optimization.

Lead product management for advisor-facing AI experiences, from product vision to pilot delivery, ensuring compliance and scalability while driving measurable business impact.

The position requires a mid-level software engineer to assist with daily responsibilities, specializing in AI/ML development, integration, and large-scale data systems.

Lead AI/ML engineering to develop and deploy autonomous AI systems, enhance data governance, and optimize model performance across business functions.

Lead the design and delivery of AI/ML solutions in Ford's global supply chain, driving measurable business value through advanced analytics and technical expertise in AI.

Lead design and implementation of agentic AI systems including RAG/GraphRAG pipelines, multi-agent architectures, and integrations across Salesforce. Build scalable back-end services, operationalize AI research into production, enforce engineering best practices, and collaborate with product, data engineering, and data science teams to improve agent performance.

Lead Software Engineer responsible for architecting and building AI-native identity management and authentication systems, ensuring scalable and secure solutions.

The Lead AI Engineer develops AI software products, manages the AI development process, mentors engineers, and enhances product quality. Responsibilities include building models, data management, and cross-team collaboration.

The AI Engineering Intern will develop AI-powered solutions using large language models, support the creation of prototypes, and integrate AI into workflows.

The Senior AI Developer will build and deploy AI/ML solutions, optimizing performance and collaborating with business stakeholders to translate needs into structured designs.

Lead AI-driven business transformation initiatives, define product strategy, align with stakeholders, and drive enterprise adoption while ensuring responsible AI governance.

The Manager will develop and execute strategies to enhance visibility and conversion for Philips brands in Amazon's AI shopping experiences, managing content quality and performance metrics.

Summer internship for MS/PhD students to apply AI/ML and LLMs to clinical pharmacology datasets, perform literature review and data management, and develop/validate PBPK and PK/PD models using tools like R or Python.

The Specialist Account Executive will drive AI and Data Cloud adoption, align business objectives with AI capabilities, and build trusted customer relationships.

Lead the design and implementation of audit applications, ensuring alignment with standards, developing documentation, and guiding engineers. Build proofs of concept and reverse-engineer .NET solutions as needed.

The role involves developing AI-powered applications using Azure OpenAI, designing Generative AI solutions, and full stack development with Python and React to enhance internal NIH business processes.

The AI Enablement Intern will develop and deliver AI training, create reusable enablement materials, and collaborate with stakeholders to enhance AI literacy across the corporate employee population.

As Agentic AI Architect, you'll design AI agent ecosystems, lead architectural development, mentor engineers, and ensure solutions meet business challenges in various domains.

The Associate Director, Data Science Lead will drive advanced modeling solutions for strategic business decisions in Marketing, Sales, and Access, leading high-impact projects and collaborating with teams to ensure actionable data science outputs.

As an AI Engineer, you'll build production-ready AI solutions, improve processes with AI insights, and collaborate with product teams to enhance platform interactions.

The Senior Architect, AI Solutions Engineering will develop AI systems for NVIDIA, optimize performance across cloud infrastructure, and mentor engineering teams.

Manage technical and business partnerships in EDGE AI, lead design and architecture of solutions, contribute to product strategy, and drive customer engagements.

The Forward Deployment Specialist will drive EDGE AI adoption by providing technical expertise, architecting solutions, engaging clients, and influencing product development.