Top Artificial Intelligence Jobs

Lead and manage data science teams to build ML and deep learning models, maintain data pipelines and lakes, ensure data quality, deliver actionable insights, and manage project timelines and client expectations.

Design and implement AI-enabled integration solutions, cloud architectures, and enterprise technology platforms. Lead strategic planning, analyze business requirements, conduct feasibility studies, coach teams, manage stakeholders, and validate solutions with clients. Apply generative and agentic AI, IoT, sensor data, systems thinking, and enterprise architecture practices to solve complex business problems and drive innovation.

Design, build, and deploy scalable AI/ML systems: data ingestion, model development (Python, TensorFlow), NLP, software integration (C++, Java), data pipeline management, client collaboration, and mentoring junior team members.

Lead design and implementation of enterprise AI architectures and integration solutions, manage multiple projects and executive client relationships, drive strategic technology planning and business development, mentor teams, conduct market research and feasibility studies, and promote technological innovation across the firm.

Lead design and deployment of scalable AI and ML systems, drive business development, mentor AI engineering teams, collaborate with clients, implement data infrastructure and pipelines, and apply Python/Java to productionize models.

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Implement ATDD and CI/CD, build API integrations and microservices, manage application lifecycle and project planning, conduct code reviews and debugging, collaborate with clients, and apply analytical thinking for business process improvements.

Lead design, development, and deployment of scalable AI/ML systems. Oversee data wrangling, integration, modeling, and software implementation. Use Python, C++, Java and ML libraries (TensorFlow, Scikit-Learn). Collaborate with stakeholders, validate outcomes, coach diverse teams, and drive innovation to deliver client-focused AI solutions at scale.

Drive enterprise sales of Microsoft AI workforce solutions, including Microsoft 365, Copilot, and AI agents. Engage senior business and technology leaders, identify transformation opportunities, build business cases, manage complex sales cycles, develop pipeline, forecast accounts, and orchestrate Microsoft teams, services, customer success groups, and partners to accelerate adoption and measurable business outcomes.

Generate and qualify enterprise sales opportunities for Samsara’s SaaS and IoT products. Responsibilities include researching and mapping accounts, hunting for leads, building customer demand, making approximately 50 cold calls daily, engaging executives, and collaborating with sales teammates. The role develops enterprise technology sales skills and offers a path toward closing roles.

As a Founding Engineer, you'll manage the lifecycle of AI systems, optimizing performance and developing pipelines for biopharma marketing.

As a Founding AI Design Engineer, you will design visual assets and collaborate with engineers to create a platform that integrates AI with design workflows in pharma marketing.

Own Ploy’s community strategy from zero, including launching its community platform, growing and engaging members, building agency partner programs, creating educational content, and organizing digital and in-person events. The role converts users into power users and advocates while partnering with product, marketing, and sales to share insights and amplify launches. It requires strong communication, community-program expertise, growth marketing awareness, cross-functional collaboration, and comfort building in an ambiguous startup environment.

Develop full-stack web applications integrating AI, machine learning, and computer vision models. Build and test software using Java, Spring Boot, Python, React, MongoDB, and Docker; collaborate with data science teams, customers, and stakeholders; enhance the company website; and contribute to products throughout their lifecycles.

Designs, builds, and productionizes AI-powered applications using LLMs, agentic architectures, retrieval, model APIs, and enterprise platform services. Partners with product and engineering teams across the full lifecycle, from prototyping through deployment and operations. Develops reusable APIs, SDKs, frameworks, and reference architectures; evaluates emerging AI technologies; resolves complex production issues; and mentors engineers while improving scalability, reliability, security, and the AI developer experience.

Administer and support enterprise AI platform environments across multiple cloud and data platforms. Responsibilities include tenant onboarding, cloud resource provisioning, IAM and RBAC, AI service enablement, infrastructure automation, CI/CD, monitoring, incident response, reliability, disaster recovery, cost governance, documentation, and compliance support in a regulated enterprise environment.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Corporate Counsel will support senior legal counsel by advising Revenue and Operations teams, drafting and negotiating commercial contracts, assessing compliance and risk, developing legal strategies, coordinating disputes, managing outside counsel, and adopting AI tools to improve legal workflows. The role requires strong transactional expertise, legal writing, practical judgment, and the ability to manage multiple priorities in a fast-paced, collaborative environment.

Corporate Counsel will support senior attorneys in advising Revenue and Operations teams, drafting and negotiating commercial contracts, assessing compliance and risk, developing legal strategies, coordinating disputes, managing outside counsel, and improving legal workflows with AI tools. The role requires strong transactional expertise, practical judgment, legal writing, and the ability to manage competing priorities in a fast-paced, collaborative environment.

Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.

Leads Gartner research and thought leadership on data management, governance, and AI. Develops actionable insights, analyzes market trends, advises executive clients, delivers presentations, supports sales and conferences, reviews content, improves research processes, and mentors analysts. Requires deep expertise in data and analytics, AI implementation, data security, data value creation, executive communication, research, and strategic analysis. Remote U.S. role with travel up to 25%.

Leads Gartner Consulting’s high-tech and telecom portfolio across North America. Advises CIOs, CEOs, and government leaders on technology strategy, digital transformation, cloud, data and AI, cybersecurity, application modernization, sourcing, and cost optimization. Owns client relationships, expands revenue, leads consulting engagements, and develops high-performing teams while translating strategy into measurable business outcomes.

Provides consulting support to improve clients’ logistics, transportation, warehousing, distribution, and merchandising through optimization, operations research, advanced analytics, and AI. Develops mathematical models, translates analytical outputs into recommendations, and supports technology and analytics implementations from requirements through deployment. Requires client communication, quantitative problem-solving, and exposure to warehouse operations, labor planning, network optimization, transportation, or distribution.

Own Celonis’s CIO narrative and strategic technology partnership offerings. Develop product positioning, messaging, pitch materials, launches, go-to-market strategies, competitive intelligence, and adoption programs. Partner with Product, Sales, Presales, Marketing, Corporate Development, and technology partners including OpenAI, Microsoft, and Oracle. Create content, coach go-to-market teams, engage executives and analysts, support demand generation, and establish thought leadership through events, media, and industry engagements.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.