Top Artificial Intelligence Jobs

The Senior Backend Developer will architect and build scalable backend systems, integrate AI technologies, and collaborate with frontend teams to enhance user experience.

As a Junior Backend Developer, you'll translate UI/UX designs into code, integrate with APIs, and utilize AI tools for efficiency.

The role involves designing prompt strategies, building agentic LLM pipelines, and integrating AI workflows, requiring strong proficiency in relevant technologies and 5-7 years of experience.

Design and operate Databricks pipelines in Python for ingesting and normalizing unstructured data, build AI systems, enforce data quality, and optimize PySpark jobs.

The Artificial Intelligence Leader will define AI strategy, manage projects, lead a team, ensure ethical practices, and foster collaboration across functions.

Lead the AI tooling strategy for engineering, enhance developer tools, collaborate with teams, and mentor engineers to improve workflows and productivity.

Develop and implement AI solutions, collaborating with teams to transition research into production, while staying updated on innovations in AI/ML.

Develop and deploy AI-powered solutions, collaborating with data scientists and engineers on data pipelines, APIs, and models. Stay current with AI advancements.

The AI Operations Analyst will optimize internal tools through automation and AI, lead initiatives, engage stakeholders, and validate cost savings across the organization.

Lead the development of data and AI products, improve customer integrations, enhance data quality automation, and collaborate cross-functionally to execute product vision.

As an AI Consultant, you will bridge clients and engineering teams, translating business needs into technical requirements and managing client communications.

The AI Deployment Manager will lead customer AI implementations, ensuring successful deployments that deliver measurable business outcomes. Responsibilities include project management, customer engagement, and collaboration with internal teams.

As a Staff Software Engineer on the AI DevX team, you will develop tools and infrastructure for AI-driven engineering, promote best practices, and enhance developer productivity.

Design cutting-edge AI memory solutions, collaborating on hardware/software integration, optimizing architectures, and ensuring efficiency in AI memory systems.

The Data & AI Consultant leads project implementations, builds client relationships, mentors junior staff, and develops technical data solutions using Microsoft technologies.

The Data & AI Solution Architect leads project implementations, mentors team members, supports pre-sales efforts, and designs scalable data architectures.

As an AI Product Intern, you'll design, develop, and deploy AI-powered software, working closely with teams to solve real-world problems and improve applications based on user feedback.

As an AI/ML Engineer Intern, contribute to designing and deploying machine learning systems, automate workflows, build data pipelines, and collaborate with experienced teams to solve high-impact problems.

The Data Scientist will analyze complex datasets using SQL, build metrics for data quality and efficiency, partner cross-functionally, and improve AI training workflows.

Develop and implement AI technologies in tax software, build APIs, and create UI for an embedded tax platform while collaborating with teams.

Lead and manage strategic partnerships in the AI industry, driving go-to-market strategies, performance management, and collaboration across teams to enhance AI ecosystem.

The Staff AI Engineer will design and launch foundational AI products, mentor team members, and lead engineering efforts in a fast-paced startup environment.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

The role involves designing and architecting AI solutions on Snowflake's AI Data Cloud, collaborating with cross-functional teams, and influencing AI & ML roadmaps based on customer feedback. Responsibilities include driving POCs, publishing scalable content, and presenting technical strategies to stakeholders.

Collaborate to create AI applications, develop prototypes, build data pipelines, and use LLMs to enhance generative applications.