Top Artificial Intelligence Jobs

Lead end-to-end AI deployments, working closely with enterprise teams to drive adoption, improve workflows, and deliver impactful AI solutions.

The Senior Consultant in AI will design, build, and deliver AI/ML solutions on Azure, engage with clients, and develop project components independently.

Lead architecture and delivery of enterprise AI agent solutions on the Moveworks/ServiceNow platform, integrating with enterprise systems. Build and tune AI workflows, partner with product and vendors, and provide L2/L3 IT operations support (servers, networks, virtualization, cloud). Act as help desk escalation, troubleshoot complex issues, and continuously improve IT processes.

The AI Account Executive drives sales growth for Expedient's AI CTRL services by acquiring new customers and collaborating with partners. Responsibilities include lead generation, managing the sales cycle, understanding product value, and maintaining records in Salesforce.

Partner with university teams to identify practical AI use cases, lead discovery and adoption, evaluate tools, develop training and workshops, provide hands-on mentoring and support, and build documentation, toolkits, metrics, and feedback loops to sustain AI service adoption across campus.

The AI Engineer will develop scalable AI systems, automate workflows, and collaborate with business teams to enhance operational efficiency across OpenSesame.

Lead the development of machine learning methods for AI-native metal manufacturing systems, focusing on integrating physical data with physics-based simulation.

As a Generative AI & Machine Learning Engineer, you'll manage AI/ML product development, support model lifecycle, and ensure solutions meet customer needs, fostering collaboration and innovation.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

In this role, you will lead the AI engineering lifecycle for Snowflake Database Engineering products, enhancing workflows and collaborating to address customer needs.

Lead end-to-end product lifecycle for enterprise AI services: define vision and roadmap, engage customers, drive cross-functional execution with engineering, design, and GTM to scale bespoke AI solutions into repeatable platform features.

The role involves managing client engagements, driving sales and project delivery, mentoring team members, and advising on emerging technologies.

Lead the development of an intelligent document processing platform using Generative AI, managing a high-performing engineering team, and driving technical innovation.

Architect, build, and deploy enterprise-grade full stack applications with React front ends and scalable back ends. Use AI-assisted tools and agentic workflows to rapidly prototype and iterate, ensure secure public-facing production readiness, implement authentication/authorization and cloud-based architectures, and partner with stakeholders to evolve prototypes into production systems.

Lead strategic digital and AI programs for key accounts: build C‑level relationships, define program strategy, oversee cross‑functional delivery (software, AI/ML, data), manage financials/P&L, and drive account growth and profitable outcomes.

As a Forward Deployed Engineer, you'll partner with pharma and biotech teams to convert scientific workflows into AI-powered systems, ensuring accuracy and reliability in implementation. You'll oversee customer accounts, drive the implementation lifecycle, and collaborate with product and engineering teams to optimize AI applications.

As a Founding Engineer, you will build core AI systems for software quality assurance, design automation components, and define architecture alongside the founders.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

As a Founding Product Engineer at Spur, you'll design, code, test, and deploy end-to-end features, gathering user feedback to drive product improvements and iterating quickly across teams.

You will design and develop machine learning systems for an AI-driven dating platform, focusing on personalized matching algorithms and natural language interactions.

Architect and own backend systems for AI-driven property risk intelligence. Design APIs, data pipelines, and ensure system reliability.

As a Founding Engineer at Baton AI, you'll design and build key systems for our AI automation platform, working with cutting-edge tech and collaborating closely with customers.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Design and implement test automation for instrument software, data pipelines, cloud analytics, and AI/ML outputs. Build data validation frameworks, schema and pipeline checks, integrate tests into CI/CD, validate ELN/LIMS interoperability, ensure traceability and regulatory Quality System compliance, and contribute to test solution architecture and orchestration.

The Clinical AI Adoption Specialist will lead AI implementation, workflow configuration, and user training for healthcare organizations to enhance operational efficiency and documentation management.