Top Artificial Intelligence Jobs

Hands-on technical leader who architects and builds production AI systems (LLM orchestration, retrieval, agentic workflows, structured reasoning). Drives architecture, monitoring, evaluation, and governance; mentors senior engineers and ships large-scale, reliable AI services.

Lead and grow a team of autonomy perception TPMs, set program direction, translate strategy into roadmaps, manage schedules, risks, budgets, and stakeholder communications across autonomy software teams.

Lead and grow the AI Platform team to deliver shared AI/ML services, infrastructure, and tooling. Define platform vision with the architect, enforce standards for reliability, security, and observability, and collaborate with cross-functional teams to enable secure, self‑service developer capabilities.

You will own the delivery of AI features, design and build applications utilizing LLMs, and work across the tech stack with a focus on user experience.

You will build scalable data pipelines for processing large datasets, optimize training throughput, and evolve data storage solutions at XPENG.

Design AI-native BI experiences that make analytics and generative AI intuitive, trustworthy, and actionable. Drive end-to-end product design from exploration to validation to action, collaborate with engineers and product, lead complex projects, engage strategic customers, and define new enterprise AI/BI design patterns.

Design AI/BI product experiences that make natural-language data queries and AI-generated insights intuitive, transparent, and actionable. Lead end-to-end design from exploration to validation and action, collaborate with product and engineering, define AI-native enterprise patterns, and influence long-term AI/BI strategy.

The role involves defining product requirements, managing stakeholder relationships, driving product launches, and leveraging AI in financial products.

As a Product Engineer, you'll implement AI features, collaborate with teams, prototype workflows, and improve developer processes at Vori.

As an AI Technical Product Manager, you will translate business needs into technical solutions, prototype using AI tools, and collaborate with teams to develop MVPs.

Lead and scale an AI Success organization (15–30 people) to drive AI product adoption, improve retention/expansion (GRR/NRR), build forecasting and predictive health models, create cross-functional playbooks and responsible-AI governance, and own executive engagement and portfolio-level commercial outcomes.

Seeking a Solution Manager to manage the full lifecycle of AI-driven products, defining features, driving pricing strategy, and maintaining customer relationships with defense and federal agencies.

The Content Marketing Manager will oversee content production and strategy, leverage AI for efficiency, and create compelling B2B healthcare content to drive engagement and market demand.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

Client-facing AI Engineer who develops and deploys AI and generative AI solutions, collaborates across data science and engineering teams, leads cross-functional projects, and delivers technical solutions using analytics and BI tools to drive client outcomes.

As a Privacy and AI Counsel, you will draft agreements, develop privacy programs, monitor laws, and collaborate with teams to ensure compliance.

As an AI Product Engineer, you will develop and deploy LLM-powered language learning products, enhance existing features, and collaborate cross-functionally to optimize performance and user experience.

The role involves creating engaging short-form social media content using AI tools, collaborating on campaigns, and analyzing content performance.

Build and maintain enterprise-scale ML/LLM infrastructure on Azure: create automated, secure CI/CD pipelines, provision resources with Terraform, enable real-time inference and RAG pipelines, and collaborate with data science and product teams to productionize generative AI solutions.

The Value Engineer will quantify the business value of OpenAI's technology, conducting assessments, building ROI models, and influencing executive decisions regarding AI adoption across sectors.

The Value Engineer will assess business value, develop ROI models, and collaborate with teams to ensure AI adoption delivers measurable outcomes for customers. Responsibilities include leading value assessments, creating business cases, and shaping the value engineering function.

The intern will assist with AI research and development, including prototyping AI models, collaborating on projects, and documenting findings.

Manage AI-driven content creation projects, from analysis and requirement gathering to roadmap ownership and stakeholder collaboration, ensuring value realization and adoption across departments.

Intern will build autonomous AI agents, develop CV pipelines for material characterization, optimize high-performance data pipelines for battery datasets, and support backend tools (FastAPI, dashboards) to enable modeling and production ML workflows.

The AI Subject Matter Expert will lead AI use case development, model selection, assess AI solution performance, and communicate AI concepts to stakeholders.