Top Artificial Intelligence Jobs

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.

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.

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.

Senior technical leader responsible for architecting and building cloud-native, microservices-based platforms with AI capabilities. Lead design and delivery of scalable search and AI solutions (LLMs, RAG), data pipelines, search optimization (Elastic/OpenSearch/Solr), CI/CD and DevOps adoption, observability, and mentor engineering teams while driving responsible AI practices and stakeholder collaboration.

The Staff Domain Expert will lead AI initiatives for GTM, translating operational workflows into AI applications while facilitating customer engagements and developing thought leadership.

Lead the development of intelligent search systems leveraging machine learning, focusing on query understanding, ranking, and entity recognition. Collaborate with teams to innovate data-informed search technologies.

Lead a small team to design end-to-end solution architectures for complex PBM initiatives. Ensure adherence to architecture principles, drive modernization, lead PoCs and technology deep-dives, advise App Dev on performance and technical roadblocks, and integrate APIs, microservices, cloud, streaming, and AI/ML automation into solutions.

Deploy, customize, and operationalize Outreach's AI Revenue Agents in customer environments. Map GTM workflows, integrate SaaS/CRM data, tune agent behavior, build reusable implementation patterns, liaise with Product/Engineering, and train customer teams to drive measurable revenue outcomes.

As a Counsel for Commercial Transactions, you'll draft and negotiate technology agreements, partner with Procurement, and support AI vendor contracting. You'll maintain contracting resources and use tools to improve workflows.

As a Forward Deployed AI Engineer, you will design, build, and deploy AI solutions for enterprise clients using Claude, while ensuring governance and operational success.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

As an AI Lead Engineer, you will architect and implement Generative and Agentic AI capabilities, optimize performance, and lead a team in developing scalable AI solutions while mentoring others.

The Physical Design Engineer will lead efforts in solving physical design challenges, improve RTL-to-GDS methodologies, and integrate AI/ML solutions into CAD flows, focusing on performance and runtime improvements.

The role focuses on driving DXC's Data & AI growth strategy, involving deal origination, client engagement, and sales team activation to advance high-value opportunities.