Top AI Engineer Jobs

Build and maintain the hybrid-cloud AI platform and internal developer platform: containerize research code, define IaC specs, deploy workflow orchestration, manage vector/graph databases, deploy model serving and cloud AI agents, and collaborate with IT on Kubernetes-based compute and security integrations.

Design and implement workflows using large language models to automate processes, lead integration efforts, and evaluate new technologies.

Design, develop, and deploy generative AI and integration solutions for Visa's VAS platform. Build APIs, implement NLP and ML components, modernize platform technology, automate CI/CD, ensure security and reliability, and collaborate with cross-functional teams to deliver scalable, client-focused services.

Partner with prospects to assess needs, perform technical discovery, deliver tailored demos and lead POCs/RFIs. Provide strategic AI-powered knowledge solutions, address technical/security questions, and build trusted stakeholder relationships while supporting sales.

Design and build scalable AI/ML-powered full‑stack applications, operationalize models in production, create conversational AI, drive network automation and telemetry-driven insights, and implement CI/CD and containerized deployments.

Build production-ready AI solutions by writing Python code, tuning LLMs and prompts, implementing data pipelines and ETL, integrating APIs, and working directly with clients to ensure successful deployments.

Build and deploy LLM-based chatbots and machine learning models, integrate agents with enterprise databases and APIs, perform data preprocessing and model evaluation, automate data pipelines, and collaborate with internal teams and clients.

The OEM Sales Enablement Manager will collaborate with Azure Cloud sales teams, develop go-to-market plans, present content, and manage sales pipelines while staying updated on industry trends.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

The AI and ML Engineer will develop and maintain AI/ML models, collaborate with teams to deliver solutions for national security, and apply algorithms.

Lead design and scalability of Java-based backend services for a multi-tenant platform. Architect high-throughput, low-latency systems, integrate core data stores, modernize legacy Java components, improve observability and CI/CD, and mentor engineers while driving platform strategy and reliability.

Work with sales and partners to demonstrate Snowflake, run proofs-of-concept, design solutions, and close large enterprise deals. Present to technical and executive audiences, collaborate with product and engineering, and maintain deep competitive and industry knowledge.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

Build, maintain, monitor, and scale AI products and components. Collaborate with product, architecture, and design leads to deliver reliable services, evaluate technical tradeoffs, and define roadmap. Mentor teammates, work autonomously, and apply engineering and DevOps best practices to ensure software quality and operational excellence.

The Staff AI/ML Engineer will lead AI product development, ensure system health, and collaborate with teams on product features while maintaining security and compliance.

Build end-to-end products for Ambient AI, work across the software stack, and engage with customers. Requires strong programming skills in Python and familiarity with frontend technologies and cloud services.

Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

Design and implement solutions for a scalable AI platform. Troubleshoot technical issues and ensure software quality through testing and architecture improvements.

The role involves engineering analysis and technical support for electric power grid operations, focusing on system modeling, data analysis, and tool development.

As a Senior QA Engineer, you'll ensure quality and reliability in educational platforms by leading testing efforts, integrating AI tools, and managing defects. You'll analyze requirements, design tests, validate AI features, and document processes, contributing to improved educational outcomes.

This role involves designing, installing, and supporting robotic solutions, working with customers and sales, and creating educational materials.

Join a remote-first company focused on customer satisfaction and innovation in IT and Security, by collaborating with motivated team members.

The role involves leading a team to design, develop, and implement AI-driven applications on the ServiceNow platform while managing all aspects of application development and integration with other systems.

As a Forward Deployed Engineer, you will deploy, optimize, and scale AI inference systems, collaborating directly with customers to enhance performance and solve infrastructure challenges on Kubernetes clusters.

As a Principal Solution Engineer, you will solve complex customer problems, collaborate with sales teams, and demonstrate Snowflake's technology value. You will engage with customers to design and implement solutions while adapting to a dynamic and evolving industry.