Top Artificial Intelligence Jobs

The Senior Data Engineer will design and maintain data architectures, work with operations teams, solve complex data challenges, and document decisions for stakeholders.

Lead and manage data engineering teams to design, build, and maintain high-quality data pipelines. Oversee automation, performance scripting, data modeling, database optimization, and quality-control processes. Collaborate with product, engineering, and operations to deliver data-driven features and support SEC-related data needs and AI/LLM integrations.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

Lead customer-facing, consultative upsell efforts for AI legal solutions at law firms: drive discovery, map workflows, design demos and POCs, influence stakeholders, and partner with sales/product to close and ensure adoption.

Lead design, development, and deployment of advanced AI/ML models and LLM solutions. Mentor and manage small teams, set data science strategy and governance, collaborate with product and cross-functional stakeholders, analyze large datasets, and drive best practices in model development and risk-aware LLM use.

The Staff Level AI Engineer will innovate applied AI methods, enhance user experience through AI, and architect AI infrastructure for a SaaS platform, collaborating across product and engineering teams to drive business value.

As an AI Engineer, you will develop new AI products, iterate with a small team, and apply various GenAI techniques to enhance educational experiences.

Develop and scale AI-powered features for Vendelux's platform, focusing on data-driven solutions and enhancing user experience in event marketing.

The Senior AI Engineer will innovate AI solutions for product capabilities, enhance user experiences, build scalable infrastructure, and collaborate across teams to implement AI features effectively.

The Senior Manager, AI and Data Science will lead the development of AI solutions, collaborate across functions, and implement machine learning models to support biomedical applications, focusing on healthcare data integration and operational efficiency.

Design and build AI-driven systems, analyze large datasets, optimize LLM performance, manage business stakeholder projects, and ensure production-grade analytics solutions.

The Senior Director leads research in Application Platforms & AI, guiding clients in AI strategy and market trends, while producing critical research content and engaging with clients directly.

Lead the development of AI systems integrating computer vision and language understanding, focusing on reinforcement learning and multimodal AI architectures.

The AI Research Scientist will design, train, and optimize state-of-the-art machine learning models, conduct research on model efficiency, and collaborate with engineering teams to ensure real-world impact.

Lead research and advisory on Operational Technology (OT) and IT/OT convergence for asset-intensive industries, focusing on AI-enabled secure autonomous operations. Produce market analyses, best practices, forecasts, and client-facing thought leadership; advise CIOs and executive teams, support sales, mentor junior analysts, and present at events. Collaborate across analyst teams to develop actionable insights and guide technology procurement, deployment, management, and optimization for industrial/utility environments.

As a Senior Product Engineer, you will develop web applications, APIs, and AI workflows, collaborating from conception to delivery and owning the entire process.

As the Business Development Lead, you will manage relationships with key cloud providers, drive strategic initiatives, and lead a partner management team to enhance collaboration and financial performance.

The Client Solutions Director will foster senior-level client relationships, oversee digital transformation deliveries, and drive account growth with a focus on client satisfaction and program profitability.

The AI/ML Lead will design intelligent systems integrating large language models, develop NLP solutions, and create recommendation engines for efficient decision-making in electronic trading.

The role involves delivering solutions to technical problems, optimizing APIs, transforming requirements into tasks, mentoring, and participating in hiring.

The Product Manager will oversee the portfolio of power and cooling solutions for HPC & AI, from product definition to market launch, collaborating across engineering and operations while conducting market analysis and developing product strategies.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Lead end-to-end product strategy and roadmap for AI-enabled platform capabilities. Define value proposition, target segments, and business case; translate market needs into product requirements; align stakeholders and drive cross-functional delivery, adoption, and go-to-market execution.

Lead the design and implementation of Generative AI solutions, optimizing application performance and reliability while guiding engineering teams and best practices.

As an AI Product Manager, you will translate client problems into engineering requirements, manage sprints, and collaborate with AI engineers to deliver AI-powered financial solutions.