Top Artificial Intelligence Jobs

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.

Own and execute product features for Create+, an AI-powered legal drafting tool. Work with attorneys and cross-functional teams to discover, prioritize, prototype, and ship LLM-enabled drafting capabilities, using data-driven analysis, experimentation, and go-to-market support to improve drafting efficiency, quality, and customer satisfaction.

Lead consultative, customer-facing efforts to win new law firm business by building relationships with senior legal stakeholders, diagnosing workflow challenges, designing AI-enabled use cases and demos, developing proofs-of-concept, and partnering with sales and product teams to drive pipeline and revenue.

Build relationships with in-house legal teams to design and implement LexisNexis AI and workflow solutions, lead demos and training, drive adoption and expansion, gather client feedback for product teams, and support sales efforts. Travel required ~50%.

Lead strategy and implementation of AI-assisted caselaw content collection, conversion, enhancement, and global deployment; define standards, guide model development, measure performance, and drive cross-functional adoption.

Build and deploy production AI systems for agricultural clients: write Python and SQL production code, develop pipelines, models, agents and dashboards, manage data transformations and quality checks, and own features from concept through deployment.

Lead the development and validation of AI/ML tools for warranty analytics and quality improvement. Requires collaboration across teams and mentoring of junior engineers.

The Staff AI Researcher will conduct applied research on LLM/VLM architectures, inference acceleration, and collaborate with engineering teams to optimize model deployment in electric vehicles.

The Applied AI Engineer will integrate AI into partners' environments, optimize models for real-world use, and bridge hardware-software challenges. Responsibilities include solving practical problems with AI tools, building high-performance integration code, and translating AI concepts for operational teams.

AI Residents will develop machine learning algorithms, engage in research, and collaborate with quantitative teams to drive innovation in finance.

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

Lead and deliver enterprise AI-ready data platform transformations: design cloud-native architectures, prototype AI-assisted pipelines, embed governance and compliance, mentor teams, and partner with executives to modernize data systems for real-time analytics and AI use cases.

Lead end-to-end onboarding for enterprise customers: run discovery, design solutions, configure systems, build integrations, manage escalations, adopt AI-driven workflows, and drive go-lives ensuring fast customer value.

The Integration Engineer will build enterprise integrations for AI platforms with Microsoft Graph, focusing on API integration, security, and performance optimization.

The Integration Engineer develops enterprise integrations for AI systems using Microsoft Graph API, ensuring secure authentication and data flows while collaborating with senior engineers for production code implementation.

Lead the Customer Success Team to drive adoption and enablement of Labs capabilities among consultants, ensuring measurable business impact and user engagement.

The role involves building and maintaining data infrastructure, conducting advanced analytics, and developing AI-enabled systems to drive insights for grantmaking for social change.

The Head of Customer Success leads a team to enhance consultant adoption of AI tools, drive performance metrics, and advocate for user feedback, while also managing operations and support.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

The Full Stack AI Engineer will design and maintain AI applications, develop backend services, collaborate with data scientists, conduct code reviews, and advise on AI technologies. The role requires extensive Python experience and the ability to obtain a DHS Public Trust clearance.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.

The Research Engineer will advance AI and biology research by implementing models, driving projects, and collaborating with teams to solve biological problems.

The Generative AI Specialist will develop and implement AI models, collaborate with teams, ensure ethical standards, and mentor engineers.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.