Top Artificial Intelligence Jobs

As an AI Success Manager, you'll partner with Fortune 500 customers to drive AI adoption, measure impacts, and consult on organizational changes. You'll balance strategy and execution, guide product usage, and manage account health across multiple stakeholders.

Design, build, and deploy LLM-powered AI agents and intelligent systems for cloud-native, microservices architectures. Partner with stakeholders to create agent-driven workflows, perform prompt engineering, RAG and vector DB integration, orchestrate agents, ensure CI/CD and code quality, manage technical debt, and benchmark/evaluate models to scale responsible AI across investments technology.

The Principal Product Manager AI will define and manage the AI/ML roadmap, collaborate with cross-functional teams, and prioritize features to enhance user decision-making and integration of AI capabilities into the product.

The Senior Forward Deployed Engineer will lead deployment solutions, mentor other engineers, and enhance customer engagement through technical leadership and innovative problem-solving.

Lead and execute research on large language models and agentic systems, running large-scale post-training experiments (SFT, RLHF, RLAIF, DPO, GRPO), building evaluation benchmarks and data synthesis pipelines, translating research into model improvements and production deployments, publishing at top venues, and mentoring researchers and engineers.

Lead and drive strategy for generative AI projects, develop cutting-edge models, engineer data pipelines, and collaborate across teams to implement AI solutions.

Lead the Generative AI team at Xometry, setting vision and strategy, developing multimodal models, and collaborating with various stakeholders to deliver AI solutions.

Design and implement runtime protocols, formats, and systems to capture, serialize, stream, and replay interactive 3D content across engines and AI models. Own engine subsystems from low-level C++ runtime to high-level C# APIs, optimize for performance, determinism, and low-latency streaming, and build interfaces for AI systems to inspect and invoke engine capabilities.

Lead and implement end-to-end proofs of concept for generative AI-enabled web applications. Develop front-end and back-end components, integrate cloud AI services (Azure/AWS Bedrock), deploy containerized microservices, automate CI/CD, perform code reviews and testing, collaborate with cross-functional teams, and ensure secure, ethical handling of sensitive data for production-ready solutions.

Lead the Generative AI team by setting technical direction, developing large-scale models, and mentoring team members while collaborating across departments.

Lead the Generative AI team by setting technical direction, developing models, creating data pipelines, and driving AI strategy across Xometry's marketplace.

Build and ship applied AI tools for legal work: identify high-impact opportunities, prototype agents and retrieval systems, integrate with enterprise data and systems, measure quality against human baselines, and train and onboard lawyers. Partner with Legal Ops, IT, Security, and product teams to iterate, evaluate, and scale AI-native legal capabilities across Match Group.

Design and implement runtime protocols, formats, and systems to capture, serialize, stream, and replay interactive 3D content across engines. Own engine subsystems from low-level C++ runtime to high-level C# APIs. Optimize for low latency, bandwidth, determinism, and memory; integrate AI systems to inspect and control engine state.

Drive go-to-market strategy for AI products, conduct market research, develop product messaging and positioning, and enable sales teams for success.

The Director of AI will lead AI and data engineering teams, define and execute AI strategy, and ensure effective partnership across functions, focusing on scalable AI solutions and responsible AI practices.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

As the Lead AI Architect, you'll design and build a workflow automation platform, deploy solutions with AI, and lead client engagements autonomously.

Integrate and maintain commercial AI tools and LLM agents into VLSI design flows, coordinate multi-agent systems, optimize performance and QoR, deploy AI agents and chatbots, preprocess data, evaluate solutions, and train end-users to improve design productivity.

Build and operate AI-native GTM systems that integrate Salesforce, Gong, Snowflake, and proprietary viewership data. Architect MCP servers, RAG pipelines, and agentic workflows using Python/JavaScript and Claude. Design eval frameworks, monitor production LLMs, run A/B tests, automate seller workflows, and enable revenue teams with documentation and training to drive pipeline and revenue impact.

Embed with Commercial teams to run discovery and root-cause analysis, design and build end-to-end AI automation solutions, deploy and drive adoption, enable AI fluency across teams through best practices and an AI Hub, run hackathons, collaborate with GTM Systems engineering, and maintain a prioritized Commercial AI roadmap.

The Head of Corporate Finance, Data & AI defines strategy and leads initiatives to integrate data, analytics, and AI into Finance, aiming to enhance decision-making and efficiency.

Design and build scalable EDA flows and AI/LLM-driven automation for 3DIC, interposer, and RDL systems. Implement flow-generation, debugging assistants, root-cause analysis, and platform integration using C++, Tcl, Python, and Java. Collaborate with engineering teams to validate flows, automate constraint-driven designs, and address large-scale, high bump-count and multi-region routing challenges to deliver production-quality solutions.

Lead design and implementation of enterprise-scale agentic AI and cloud-native solutions (APIs, microservices, CI/CD, streaming). Architect RAG, vector DBs, MCP integrations and multi-agent orchestration, mentor engineers, drive technical standards, research emerging technologies, and partner across teams to deliver scalable, secure AI solutions for claims adjudication.

Lead development of scalable EDA flows and AI/LLM-driven automation for 3DIC, interposer, and RDL systems. Build flow-generation, debugging assistants, root-cause analysis, and platform integration using C++, Tcl, Python, and Java. Collaborate across teams to define requirements, validate behavior, and deliver production-quality, automated workflows improving usability and debug efficiency for complex package and system-level designs.

The Director of Digital Platforms leads strategy and delivery of customer-facing digital platforms including Salesforce, OMS, and AI capabilities, aimed at enhancing Sales, Marketing, and Customer Service.