Top Artificial Intelligence Jobs

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

Lead the Solutions Architecture team, managing complex implementations of AI solutions, mentoring technical staff, and aligning customer needs with product roadmaps.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.

Manage and grow a team of AI Deployment Engineers to drive AWS-aligned partner and customer production deployments of generative AI and ML. Own technical strategy, architecture guidance, escalations, enablement frameworks, cross-functional collaboration, and operational excellence to scale adoption of OpenAI technologies within the AWS ecosystem.

Build and operate AI-native backend services that orchestrate multi-step, stateful LLM agents for GTM workflows. Design model-agnostic abstractions, integrate external systems, deploy containerized services on Kubernetes, ensure observability, and run experiments to measure effectiveness.

The CGI Renderer/AI Artist will create photorealistic visual content for luxury home furnishings, lead a team on photography projects, and ensure consistency and quality across digital platforms.

Lead end-to-end development and live deployment of AI-driven mid-frequency trading strategies: hypothesis generation, signal research, backtesting, production pipeline, execution, P&L attribution, and building a small high-caliber team.

Lead architecture and integration of RISC-V-based AI compute clusters and vector engines. Define ISA extensions, memory subsystems, interconnects, task-mapping and scheduling, and performance/debug features. Collaborate with compiler, ML runtime, RTL, verification, and firmware teams to optimize performance-per-watt and scalability across silicon generations.

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.