Top Artificial Intelligence Jobs

Participants complete guided AI research activities onsite, including walking, sitting, gestures, photos, audio recordings, and video recordings. The study takes 2.5–5 hours and requires no prior experience. Applicants must be ages 13–75+, speak English, and be authorized to work in the United States. Minors need parental or legal guardian consent.

Design, train, deploy, and optimize deep learning and computer vision models for semiconductor inspection systems. Develop production-quality algorithms combining deep learning with physics-based modeling or signal processing, manage datasets and evaluation pipelines, and improve inference performance using GPU and high-performance computing. Collaborate across engineering teams and support deployments at customer sites, including occasional international travel.

Design and implement large-scale, distributed AI-driven SD-WAN systems and real-time, fault-tolerant services. Drive features end-to-end from design through testing and deployment, improve scalability and operability, participate in code and design reviews, and collaborate with product and documentation teams.

Lead the architecture, prototyping, deployment, and scaling of agentic AI platforms for NVIDIA Marketing. Translate marketing opportunities into reliable AI agents, reusable platform capabilities, and production architectures. Establish practices for evaluation, observability, security, governance, reliability, and cost optimization while partnering with engineers on integrations, tooling, retrieval, memory, orchestration, and infrastructure. Guide complex initiatives from discovery through ongoing operations and communicate technical solutions to technical and business stakeholders.

Responsible for acquiring new customers and managing sales processes for software solutions in the Life Sciences industry, achieving growth through upselling and strategic presentation efforts.

Lead development of data infrastructure, analytics platforms, and data products; deploy predictive and diagnostic models (ML/AI); drive consumer, marketing, business, and operational insights; manage large global teams; partner with IT and cross-functional leaders to inform product, sales, and marketing strategy and enable data-driven decision making.

Lead Americas Procurement digital solutions team to build reporting, automations, systems support, data governance, and AI/ML enablement. Prioritize project intake, deliver Power BI and Oracle-based solutions, drive process automation and adoption, and track business impact while coaching and developing team capability.

The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.

Supports an insider risk program by developing AI, data science, and cybersecurity solutions. Analyzes large and unstructured datasets to identify insider threats, anomalies, and emerging AI risks. Builds statistical and machine learning models, ensures data quality and governance, creates reports and visualizations, and advances security operations, processes, and tools. The role collaborates with senior stakeholders, mentors analysts, and translates threat insights into proactive defensive and offensive security capabilities.

12-month graduate programme based in Dubai delivering hands-on experience in employee benefits analytics, pricing and risk modelling. Work with data, BI platforms and modelling tools to build pricing models, dashboards, forecasts, and automation; learn insurance policy design, regulation, and insurer engagement before transitioning to a permanent role.

Lead client-facing data science work: design and develop ML/AI solutions, build and monitor operational data pipelines, query/migrate data via APIs, use SQL/NoSQL and cloud architectures, guide teammates, and translate complex data into actionable insights. Requires TS/SCI with polygraph and extensive data science experience.

Perform data exploration, cleaning, analysis, and visualization on structured and unstructured data. Develop predictive models and machine learning algorithms, apply distributed/data-processing tools, collaborate with clients, and lead solution development. Support deliverables, travel up to 25%, and obtain required security clearance.

Lead data science projects to extract insights from structured and unstructured data using AI/ML and IoT. Work with clients, guide teams, develop algorithms and systems, process geospatial and varied file formats, build visualizations, and deliver data-driven recommendations.

Sell tax/trade software solutions into large enterprise accounts in the PA territory. Prospect and build pipeline, develop and execute account plans, manage full sales cycle from outreach to close and renewal, maintain Salesforce CRM, collaborate cross-functionally, and meet revenue targets. Requires travel (25-50%).

Lead quality engineering for manufacturing cells: develop and audit inspection/testing processes, analyze statistical data, drive corrective actions and continuous improvement, mentor staff, coordinate PCAB and present program risks. Ensure compliance with quality standards and work cross-functionally with suppliers, engineering, and manufacturing.

Drive customer outcomes and measurable value realization for specialized AI-enabled SaaS products. Build success plans, guide adoption, quantify ROI, identify expansion and churn signals through product data, support AI change management and responsible governance, and create scalable playbooks and enablement for Customer Success teams. Partner cross-functionally with Product, Services, Support, Digital CS, and customers in a fast-moving environment.

Conduct applied research in generative video and audio synthesis, voice and roomtone cloning, multimodal understanding, computer vision, and speech modeling. Design, implement, test, and evaluate deep learning algorithms, develop new research directions, and help move prototypes into production features. The role requires end-to-end ownership, strong experimental judgment, and the ability to generate and rapidly evaluate machine learning ideas.

Designs, builds, and ships technical growth mechanisms across acquisition, onboarding, referrals, activation, and monetization. Owns growth budgets, tracking specifications, analytics events, experimentation, attribution, and cohort analysis. Prototypes growth hypotheses for AI products, develops business cases and go-to-market strategies, and presents data-driven recommendations to executives, clients, and partners. The role requires strong coding, analytical, communication, executive presence, and end-to-end ownership skills.

Build production-ready agentic AI applications that integrate agents, workflows, memory, reasoning, and tools to solve customer use cases. Rapidly prototype, iterate, and ship end-to-end AI experiences; design integrations and UX, ensure reliability, performance, and evaluation; partner with platform and product teams to create reusable components and customer-ready solutions.

Lead Gen AI and data science strategy for Markets Operations Technology. Manage and mentor data science and ML teams, drive end-to-end development and production deployment of LLM/RAG solutions, collaborate with stakeholders, ensure regulatory and ethical compliance, promote engineering best practices (Agile, DevOps, CI/CD), and advance research and innovation in generative AI.

Lead cross-functional programs for local and hybrid AI agents from prototype through production release. Own roadmaps, dependencies, evaluation criteria, release gates, dashboards, and executive communications across engineering, research, product, security, Windows, GPU, developer relations, partners, and open-source communities. Guide agent frameworks, tool connections, memory, computer use, local inference, model routing, application integration, onboarding, documentation, compatibility, and adoption.

Serves as the enterprise legal advisor on privacy, AI governance, and responsible technology. Develops governance frameworks, translates privacy and AI regulations into business guidance, manages assessments, incidents, data subject requests, audits, regulatory inquiries, vendor contracts, training, and compliance metrics. Partners cross-functionally with Legal, Compliance, Security, Technology, Product, and business teams to manage risks and support regulatory readiness.

Design, develop, test, and deploy AI-powered features and tooling for the CORI robotic surgery platform using ML, generative AI, computer vision, and AI-assisted developer tools. Build integrations, services, APIs, automation, and CI/CD pipelines while ensuring cybersecurity, privacy, quality, and regulatory compliance. Collaborate on architecture, prototyping, evaluation, deployment, and continuous improvement across robotic software and cloud systems.

Design and scale AI-powered sales enablement experiences: architecture for generative AI, RAG, AI agents, content discovery, guided selling, coaching automation, governance, pilots, integrations with enablement/CRM/LMS systems, and measure adoption and business impact.

Partners with business stakeholders to identify AI and automation opportunities, then designs, develops, tests, supports, and documents AI-powered applications, intelligent agents, workflows, and integrations. Builds solutions using Microsoft Copilot Studio, Power Platform, Microsoft 365, APIs, databases, and generative AI. Monitors performance, recommends enhancements, supports Power BI data servicing, and contributes to demonstrations, training, stakeholder engagement, and knowledge transfer.