Top Artificial Intelligence Jobs

Design and build agent-based AI features that integrate across BigCommerce and partner systems. Connect agents to MCP servers, enable natural-language store management actions, integrate assistants into the control panel, collaborate with designers and NLP experts, prototype POCs, and contribute to tooling for LLM fine-tuning, prompt engineering, and safe action execution.

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.

Lead AI strategy adoption across Zynga by partnering with cross-functional teams, evaluating and onboarding vendors, tracking AI KPIs, ensuring governance/compliance, expediting dependencies, and advising on vendor fitness, ethics, security, and legal risks to drive effective internal use of AI tools.

Lead design, development, and production deployment of scalable AI agents and agent platform. Drive technical strategy, mentor engineers, perform system and code reviews, resolve architectural challenges, and collaborate with product and cross-functional teams to deliver high-performance AI/ML solutions.

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 and scale Capcos Cyber + AI practice: define strategy and offerings, win and deliver complex cybersecurity and AI-enabled security programs, manage client relationships, drive pursuits and revenue, and mentor and grow teams.

Lead an AI platform team to design, build, and deploy agentic, reusable AI services for healthcare payment integrity and clinical workflows. Provide technical and strategic leadership, drive deployment automation, CI/CD, production observability, ethical AI practices, and cross-functional partnership to ensure secure, scalable delivery and measurable business outcomes.

Develop and evaluate novel AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, document models, collaborate with stakeholders, RUAI, and engineering to productionize solutions and MLOps pipelines, and publish/patent research.

Lead end-to-end design, implementation, deployment, and operation of production AI/ML-enabled full-stack applications. Build LLM-powered features, design scalable backend services and data models, deploy on Azure, implement CI/CD and observability, and mentor engineers while ensuring secure, compliant integration into clinical workflows.

The Senior Director will lead Cloud AI Platform Solutions, managing customer engagement, platform readiness, team leadership, and cross-functional alignment to drive successful server-class SoC platform deployments.

Join DigitalOcean as a Senior Engineer to design and develop high-scale AI data plane services, optimizing performance and mentoring junior engineers.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.

The AI/ML Engineer will implement and maintain RAG pipelines, integrate LLMs with APIs, develop REST APIs, and refine Postgres schemas, requiring a TS/SCI security clearance.

Design and develop AI solutions, manage data flow for AI deployment, optimize models, and conduct data analysis on large datasets for operational improvement.

The AI/ML Engineer designs and develops AI solutions, optimizes models, manages data flow for deployment, and conducts data analysis to enhance operational outcomes for mission operations.

As a Staff Product Designer at FloQast, lead design strategy for AI-driven product capabilities, mentor teams, and ensure design consistency across platforms while enhancing user experiences and stakeholder communication.

As an AI Product Specialist, you'll drive market expansion and customer engagement by defining strategies for AI product growth, conducting market analyses, and supporting sales teams. You'll leverage AI expertise and guide product development and competitive positioning while collaborating across teams to enhance Kensho's AI solutions.

As an AI Product Specialist, you will define strategies for market expansion and revenue growth of AI-powered solutions, integrating technical understanding with market leadership.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

As an Applied Researcher II, you will create AI systems for banking, working with cross-functional teams to develop and implement AI-powered products, while conducting applied research and engaging with emerging technologies.

Design, build, deploy, and maintain production machine learning models and pipelines at scale. Collaborate in cross-functional Agile teams to architect ML systems, automate testing and CI/CD, monitor model performance, and apply responsible and explainable AI practices. Leverage cloud platforms and distributed computing to optimize model training and serving.

The role involves partnering with a team to deliver AI products, utilizing various technologies and conducting applied research to enhance customer experiences leveraging AI.

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.