Top Artificial Intelligence Jobs

The Senior Data & AI Consultant leads digital initiatives, designs enterprise data solutions, and mentors teams using the Microsoft data stack for analytics and AI enablement.

Design, train, test, deploy, and maintain AI/ML models (LLMs, RAG, agentic workflows). Build production-grade software and APIs, implement MLOps/DevSecOps, design event-driven integrations, and collaborate with engineers and product owners to deliver mission-critical solutions for Air Force operations.

The AI Enablement Engineer will integrate AI tools into engineering workflows, enhance productivity, and ensure compliance with data security standards while supporting engineers' adoption of AI solutions.

The AI Application Engineer will design and develop applications using Large Language Models, implementing workflows, ensuring code quality, collaborating with teams, and deploying solutions on cloud platforms.

Design and evaluate transformer-based models for structured and time-series credit data. Analyze internal representations, run ablations and hyperparameter sweeps, build research prototypes in PyTorch/TensorFlow, and collaborate with ML engineering to productionize interpretable, discriminative, and generative modeling advances.

Drive user growth and go-to-market execution for a new AI voice agent product through various acquisition channels and strategies while collaborating with cross-functional teams.

Design, train, test, deploy, and maintain AI models (LLMs, RAG, agentic workflows). Build production-grade APIs and data services, implement MLOps/DevSecOps, and integrate event-driven workflows to support Air Force mission solutions while collaborating with cross-functional teams.

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.