Top Artificial Intelligence Jobs

The Senior Product Manager for AI Solutions will lead the strategy and execution of AI functionalities in contract management, ensuring user adoption and engaging cross-functional teams.

Lead the AI and design services at Havenly Brands by owning strategy, scaling operations, optimizing experiences, and driving growth in a transformative role.

As a Software Engineer, you'll create LLM-based systems, enhance data search and analysis, and implement quality frameworks, collaborating with teams to improve AI capabilities.

The Product Owner will manage the product delivery team backlog, facilitate communication between stakeholders, define priorities, and monitor community feedback in the GPU, Accelerators, and AI domains.

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Join Gridium to build AI-powered features and enhance building energy efficiency. Work closely with founders and customers to innovate.

The Technical Director will lead AI technology research and development for games, manage a team, and drive innovation in immersive storytelling.

As a Principal Engineer, you'll design and develop solutions for the Exchange Platform, influencing project outcomes and managing team dynamics while ensuring technical excellence and maintenance of existing solutions.

The role involves designing and implementing AI solutions on the LPL Data Experience platform, automating governance, reconciliation, and lifecycle management processes. It requires strong collaboration, innovation, and integration of AI with UI and backend systems.

As a Sr. AI/ML Engineer III, you will design and implement reinforcement learning algorithms, integrate them into simulation environments, and evaluate their performance. Collaborating with engineering teams, you will ensure the maintainability and transparency of AI components while communicating results and recommendations clearly.

The AI Creator will produce multimedia content, applying technical workflows and AI tools to enhance creative production processes.

Build and scale AI-based monitoring systems that analyze very large unstructured datasets, produce trustworthy structured insights, and enable human oversight. Work across the stack from core analysis frameworks to user-facing tools, partner with researchers and safety teams, develop agentic integrations for autonomous investigation, and shape team strategy and tooling investments.

Design, develop, and maintain engineering solutions to validate, monitor, and operate GPU clusters for ML researchers. Research and apply AIOps/Agentic AI to reduce operational toil, enable self-service reliability and performance improvements, and participate in on-call support for platform systems.

Lead end-to-end technical research into how AI models perceive and rank brands. Build and own research stack, design experiments, produce clean datasets and actionable insights, author credible content with Editorial, create scalable research playbooks, and partner with Product and Engineering on platform performance.

The Staff AI Research Engineer will architect AI systems, optimize retrieval methods, collaborate across teams, and innovate AI solutions for sales efficiency.

Work with EPD and Sales to design AI-native financial modeling workflows, create standardized templates, perform high-rigor QA on AI outputs, and pressure-test edge cases to ensure investor-grade financial models and automation reliability.

Build and maintain enterprise-scale ML/LLM infrastructure on Azure: create automated, secure CI/CD pipelines, provision resources with Terraform, enable real-time inference and RAG pipelines, and collaborate with data science and product teams to productionize generative AI solutions.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

Develop and maintain machine learning models and pipelines as part of a cross-functional data team. Build/operate ML platforms, use data processing frameworks, apply software engineering practices, obtain Security+ and support classified (Top Secret/SCI) environments while working onsite in Oahu with travel up to 30%.

Design and prototype LLM- and agent-based workflows (RAG, tool-calling), build reusable connectors and agent templates, integrate data science models, define clean API boundaries, implement lightweight evaluation/logging, and collaborate with data science and leadership to operationalize AI systems.

Design, deploy, and operate production AI systems for enterprise customers. Build compound workflows combining models, agents, retrieval, and evaluation. Measure and iterate on live systems, integrate with customer data and APIs, and collaborate with stakeholders to ensure reliability and business impact.

Design, build, and operate end-to-end AI systems in enterprise environments. Own architecture, integrations, security, observability, and operational patterns; deliver reference implementations and resolve high-impact production issues while partnering closely with customer engineering and security teams.

Design, build, and own the end-to-end model platform: training/fine-tuning pipelines, RL workflows, data ingestion/curation, reproducible experiments, scalable inference services, and production deployment.

Lead AI integration and full-stack development across the platform, rapidly prototype and ship production-quality features using Node.js, React, TypeScript, Ruby, GraphQL and Postgres, ensure secure handling of healthcare data, set technical standards, and mentor engineering team members.