Top Artificial Intelligence Jobs

Design and optimize high-performance compute kernels for AI primitives (GEMM, attention, convolution), profile and tune across heterogeneous hardware, collaborate with compiler/runtime teams (Triton, PyTorch, SYCL), prototype precision formats, and contribute micro-architecture feedback while writing reusable C++/CUDA/Triton/MLIR code.

Verify chip-level and performance behavior of custom ASICs: design end-to-end test flows with architecture team, run simulation-based verification, implement UVM environments, use constrained-random and functional-coverage methodologies, and coordinate vendors/contractors.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

The AI Architect will modernize AI infrastructure, leading design and implementation of scalable AI capabilities, guiding enterprise architecture, and supporting cross-functional teams in AI adoption.

Lead design and delivery of production-ready AI systems within the ION Factory OS, ship AI-driven and core product features, architect scalable cloud-native systems and ML pipelines, implement RAG and MCP integrations, collaborate with product and data teams, ensure reliability and scalability, and mentor junior engineers.

Lead design and delivery of AI-enabled solutions across cloud-native and hybrid federal systems. Architect Azure-based, containerized AI/ML services, modernize legacy applications, build reusable frameworks, implement DevSecOps/CI/CD and IaC, and coach teams to drive AI adoption, governance, and measurable KPIs.

The role involves designing AI-driven workflows and automations, managing systems for enterprise integration, and collaborating across teams to implement scalable solutions.

As an AI Tools Engineer at Counterpart Health, you will evaluate and deploy AI-powered tools, optimize workflows, ensure security compliance, and promote tool adoption across teams.

The Deployment Strategist will manage customer implementations of AI solutions, aligning business goals with deployment plans, ensuring smooth project execution, and driving customer engagement for successful outcomes.

The Data Engineer will develop and maintain AI context data capabilities, create data pipelines, ensure operational excellence, and follow compliance protocols. Responsibilities include data ingestion, retrieval quality improvements, and semantic layer implementation for AI integration within healthcare organizations.

Lead the development of AI systems for an automation platform, focusing on design, implementation, and evaluation of AI/ML projects in financial services.

The role involves building and maintaining AI data capabilities, implementing data pipelines, and ensuring operational excellence in data management within a healthcare context.

As a Senior AI GRC Engineer, you'll lead AI governance initiatives, implement compliance frameworks, and partner with engineering teams to ensure sustainable AI practices at Vanta.

The Senior AI Engineer will design and improve AI pipelines, build evaluation frameworks, optimize performance, and collaborate with teams to integrate AI capabilities into Brellium's platform.

The role involves developing robust robot policies using reinforcement learning algorithms, enhancing sample efficiency, and applying them to real-world hardware for robotics applications.

Lead the design and training of large-scale video/world models for robotics. Develop controllable simulators and evaluate policy success. Contribute to building a flagbearer robotics company with a focus on high success rates in real-world applications.

As an Associate Principal, you will assess AI disruption risks and value opportunities for PE clients, manage due diligences, and support deal pursuits, developing into a Principal role.

Drive revenue by leading sales cycles, advising on AI strategy, building relationships with investors, and executing account strategies.

The Associate Director, AI Engineer will design and develop multi-agent systems, collaborate with teams, and implement AI workflows for clients.

As an AI Engineer at Clarium, you will build and maintain data enrichment pipelines, design classification workflows, analyze datasets, and ensure data quality, primarily using Python and SQL, and work closely with senior engineers and data scientists.

As a Senior AI Engineer, you will develop backend systems and AI applications for Clarium's healthcare supply chain platform, ensuring alignment with real-world workflows and critical system components.

Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

The Enterprise AI Associate will engage with customers, support AI solution deployment, and translate feedback into structured plans while collaborating with engineering teams and refining marketing strategies.