Top Artificial Intelligence Jobs

As a Senior Software Engineer in Agentic AI, you will develop AI-driven software translation tools, design workflows, and collaborate with specialists to enhance code generation pipelines.

As a Senior AI Engagement Manager, you'll manage AI initiatives with clients in life sciences, driving project delivery and strategic advisory conversations while using AI tools for efficiency.

As a Data/AI Engineer Intern, responsibilities include data analysis using AI tools, model development, and collaborating with stakeholders to address business challenges.

You will build AI-driven finance systems, automate workflows, and partner with the CFO to enhance finance operations and governance using advanced data techniques.

The Director, AI Platforms leads the AI platform strategy, overseeing adoption and evolution of Copilot and Halo platforms, while ensuring operational success and governance frameworks.

The Staff Software Engineer will enhance developer experience by building AI-first platforms and tools, improve infrastructure reliability, and collaborate on solutions.

Lead go-to-market strategy and execution for Snowflake's AI and data sharing products. Create messaging, content, and sales enablement; collaborate cross-functionally with product, sales, and marketing; run campaigns; gather customer feedback for product direction; and provide market and competitive intelligence to drive awareness, consideration, and adoption.

As a Software Engineer, you'll create LLM-based systems, enhance data search and analysis, and implement quality frameworks, collaborating with teams to improve AI capabilities.

Senior individual contributor responsible for designing and delivering production AI solutions (LLM services, RAG, document intelligence) using AWS native technologies. Build LLM-enabled APIs, vector search pipelines, and cloud-native, serverless integrations; ensure CI/CD, observability, security, and compliance. Provide technical leadership, mentor engineers, collaborate with platform and product teams, and contribute reusable AI patterns and reference implementations.

The AI Architect will lead discovery workshops, architect AI solutions, develop prototypes, and serve as a technical advisor while working closely with senior business leaders to deliver high-impact solutions.

Design and implement AI architectures and solutions for government clients, establish program AI strategy, mentor team members, and evaluate AI technologies for integration.

Lead the design and implementation of Generative AI solutions, optimizing application performance and reliability while guiding engineering teams and best practices.

Lead product development of an AI-ready data quality platform on Databricks, embedding schema enforcement, data contracts, observability, anomaly detection, CI/CD validation, and driving data product ownership, governance, and reproducibility for ML workloads.

Assist in designing high quality AI conversation models for customer contact centers. Collaborate with teams to build solutions that meet business objectives and maintain AI model quality.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

Lead AI integration and full-stack development across the platform, rapidly prototype and ship production-quality features using Node.js, React, TypeScript, Ruby, GraphQL and Postgres, ensure secure handling of healthcare data, set technical standards, and mentor engineering team members.

As AI Research Scientist I, you will propose AI solutions, apply ML models in drug design, publish papers, and collaborate in a fast-paced environment.

The AI Research Scientist III will prototype AI/ML solutions, advance drug design campaigns, mentor junior researchers, and publish scientific papers.

Design and build payments technology incorporating AI-driven features, ensuring scalability and security. Collaborate with teams to implement intelligent payment experiences using LLMs.

The role involves designing scalable AI solutions, managing large-scale AI deployments, building client relationships, and delivering presentations. Requires experience in MLOps and knowledge of ML ecosystems.

The role involves managing product development in AI, overseeing cross-functional teams, defining product vision, and engaging with stakeholders to deliver AI-enabled solutions.

The Manager of AI Adoption will lead a team to enhance customer AI adoption, focusing on measurable business outcomes and workflow integration across various stakeholders.

The AI Forward Deployed Engineer designs and deploys AI-driven solutions, collaborates with customers, develops integrations, and enhances automation technologies.

The AI Transformation Strategist will engage with VP and Director level leaders to drive AI transformation, develop agent experiences, and manage change in technology and operations.

The Senior Digital Design Engineer will design and implement digital designs for high-performance connectivity solutions, collaborating across teams for successful product delivery.