Top AI Engineer Jobs

This role involves training, testing, deploying ML models, and defining ML strategies for military use, requiring strong experience in AI and machine learning techniques.

As an AI DevOps Engineer, you'll automate AI workflows, improve IT operations, and utilize machine learning frameworks for mission-critical solutions.

Design, develop, and execute integrated systems test plans for HPE HPC and AI platforms. Troubleshoot hardware/software interactions, certify Linux OS submissions, automate tests, collaborate with cross-functional and vendor teams, and mentor test engineers to resolve issues and validate solutions.

Design, implement, and execute integrated systems test plans for HPE HPC RackScale products. Debug and triage hardware/software issues, work with cross-functional teams and vendors, drive test automation, and provide training and guidance to global test teams to ensure product quality prior to release.

Lead design, development, testing, and integration of HPE HPC/AI systems. Collaborate with product and program teams, vendors, and cross-functional engineers to develop test plans, automate execution, debug issues, mentor staff, and deliver certified, high-quality server, storage, and networking solutions.

The Lead Software Engineer, AI will drive AI innovation, lead model development, provide technical leadership, and ensure production quality in AI systems.

As a Senior Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

The Associate Software Engineer will design and implement machine learning solutions to business challenges, collaborate with teams, preprocess datasets, and integrate models into production, focusing on scalability and maintaining documentation.

As an AI Infrastructure Engineer, you will manage NVIDIA AI infrastructure, deploying and troubleshooting AI workloads, and automate operations using various tools to enhance platform reliability.

As a Director of Product Management for Developer Experience, you'll define product strategies for AI capabilities, lead cross-functional collaboration, and measure success metrics, requiring significant experience in product management and developer tools.

As an AI Infrastructure Engineer, you'll manage NVIDIA AI infrastructure, deploy containerized workloads using Kubernetes and Docker, and automate operations with Python and Terraform. You'll also monitor platform performance and integrate CI/CD workflows for AI workloads.

As an AI Infrastructure Engineer at BNY, you will manage AI infrastructures, deploy and troubleshoot AI workloads, maintain pipelines, and automate operations using various technologies.

The Associate Software Engineer will design and implement machine learning models, collaborate with teams to solve business problems, and ensure model performance in a production environment.

The Systems Engineer will lead satellite payload integration and testing, collaborating with teams to ensure technical compliance and thorough testing before launch.

As a Machine Learning Engineer, you will design and build AI capabilities, develop scalable ML infrastructure, and collaborate on production systems in the real estate domain.

The role involves leading AI-driven data engineering initiatives, developing data solutions, pipelines, and mentoring junior engineers while ensuring scalable and reliable systems.

The Lead AI Optimization Engineer will enhance AI solutions, automate tasks, lead a team, and collaborate on software to improve operational efficiency.

The Senior Software Engineer will design and build full-stack applications using React and Java, ensuring scalable systems, mentoring juniors, and collaborating with cross-functional teams.

The role involves designing and implementing AI and ML solutions for Defense sectors, requiring experience in ML engineering and cloud environments.

Develop and implement AI and ML systems for Defense and Intelligence sectors, focusing on deployment, scalability, and integration of technologies.

The Principal AI/ML Research Engineer leads research in architecture and algorithms for AI/ML, mentors junior researchers, and collaborates with teams to innovate and implement solutions.

The Senior Software Engineer will lead the development of AI solutions for the life insurance sector, overseeing full stack application design and delivery while guiding junior engineers.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

The Enterprise Technical Implementation Manager will execute technical delivery for enterprise accounts, translating business requirements into structured technical plans, while managing complex implementations and working with stakeholders.