Top Artificial Intelligence Jobs

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.

As a Senior AI Engineer at BioRender, you'll develop AI-driven features, collaborate with cross-functional teams, and prototype innovative solutions to enhance scientific communication.

The AI Implementation Associate will optimize customer workflows using AI, partner with product teams, and solve financial problems in a startup environment.

The Director of AI Infrastructure oversees high-performance computing environments, manages GPU clusters, directs orchestration strategies, and serves as a technical bridge for research teams.

Provide legal guidance on AI-powered product features, conduct company-wide AI reviews, partner with engineering/product/security/privacy, communicate complex legal and technical concepts, and build scalable AI governance and compliance processes.

The intern will run outreach campaigns, support client onboarding, draft communications, track AI implementation, and produce content, focusing on AI tools and client engagement.

Design, prototype, and deliver enterprise AI solutions (RAG, LLMs, agents). Architect data flows and integrations, evaluate third-party models, build production features, establish telemetry and evaluation, partner with stakeholders, maintain AI roadmap, and evangelize AI adoption across business units.

Lead design, implementation, and adoption of AI-enabled analytics across R&D. Build scalable analytics products, dashboards, and AI use cases for clinical development and operations. Partner with stakeholders, Digital/IT, and vendors; mentor team members and drive prototyping, deployment, and operationalization of AI-driven solutions.

Design, build, and deploy LLM-powered applications and automation for commercial, billing, and CX teams. Partner with stakeholders to scope solutions, create data pipelines, own end-to-end deployments and monitoring, establish prompt engineering and responsible AI practices, and run internal training.

Design, build, and maintain data pipelines and Generative/Agentic AI solutions. Integrate LLM APIs and agent frameworks, ensure data quality, automate workflows, run proofs-of-concept, monitor systems to meet SLAs, and present insights to senior leaders. Collaborate across functions and enforce compliance and governance for GenAI outputs.

Lead global marketing and AI innovation to build an AI-enabled, data-driven marketing organization. Define AI/automation roadmap, deliver scalable AI use cases, run integrated campaigns, own brand and website strategy, manage a 15+ person team and marketing budget, and report impact to executives to drive demand, acquisition, retention, and revenue growth.

Design, deploy, and maintain generative AI solutions and ML pipelines. Fine-tune and operationalize LLMs on AWS, use Snowflake for feature engineering, ensure security/compliance, monitor and optimize model performance, and document processes while collaborating with cloud, AI, and MLOps teams.

As a Startup Account Manager, you'll drive expansion and retention for high-growth startup customers, leveraging consultative sales expertise to enhance their AI capabilities and ensure maximum value from Anthropic's solutions.

The IT Project Manager will execute the company's IT roadmap, manage stakeholders, monitor project progress, and ensure quality outcomes while fostering collaboration within the team.

The Senior Associate will build and extend the data platform and AI applications, focusing on data engineering, cloud infrastructure, and AI development.

Lead and manage applied AI initiatives across clinical, operational, and administrative domains. Oversee AI lifecycle from intake and evaluation through deployment, monitoring, and optimization. Coordinate with clinical, IT, legal, risk, and vendors to ensure safe, compliant, and effective AI solutions that drive measurable value.

Lead generative AI initiatives: define 18-24 month roadmap, develop and deploy LLMs and multimodal models for document and 3D data extraction, architect Siemens integration, drive data/ML ops, mentor scientists, and align cross-functional teams to deliver production-grade AI solutions.

As a Principal Software Engineer, you'll design and deploy ML-powered tools, build scalable backend systems, and engage with clients for AI solutions. You'll work on R&D for innovative tools and manage cloud operations to support ML models.

Lead operationalization and validation of Agentic AI and GenAI solutions: define validation frameworks, analyze production agent data, create observability dashboards, detect anomalies/hallucinations, support deployments and A/B testing, and deliver actionable insights to improve models and business outcomes.

Lead generative AI efforts: define 18–24 month roadmap, build and deploy LLMs and multimodal models for document and 3D data extraction, architect Siemens integration, drive MLOps on AWS, mentor team, and align cross-functional stakeholders for high-impact AI solutions.

As a Motion & AI Video Designer, you'll create impactful motion narratives, establish AI workflows, and design interactive products while collaborating across teams.

Lead technical product marketing for AI compute, owning positioning, competitive strategy, and technical content. Translate systems-level innovations into customer and executive narratives, drive competitive intelligence, support launches, and lead a technical product marketing team aligned with product, engineering, and sales.

The role involves designing, building, and maintaining AI agents for Roku TV, managing their development lifecycle, and ensuring performance in production environments.

Design, build, and operate agentic AI systems for Roku TV: prototype, architect, and deploy agents and copilots; implement RAG, tool/function-calling, orchestration, observability, evaluation, and safeguards; integrate agents with backend services and production pipelines; collaborate across teams to deliver scalable, reliable solutions.