Top Artificial Intelligence Jobs

Lead the Accounting Strategy and Financial Reporting team, focusing on M&A, investments, and new accounting standards while ensuring compliance with US GAAP and SEC requirements.

The Supplier Development Engineer will lead supplier development for photovoltaic materials, focusing on manufacturing, process engineering, and quality improvements in solar cell production.

The Systems Engineer, Jr. will support the development and optimization of defense systems, focusing on end-user needs and contributing to system integrations and analyses.

The R&D Systems Engineer will support US Government programs in developing satellite ground systems, focusing on automation and data processing, while conducting technical analysis and evaluations throughout the project lifecycle.

The role leads application systems analysis and programming, drives architecture strategy, evaluates technologies, and influences senior stakeholders in the investment domain.

The Senior Technical Advisor provides expert guidance to government contracts, mentors personnel, and leads the implementation of advanced technical strategies.

Support Power Conversion & Storage NPI by building data pipelines and AI tooling. Collect and format engineering data, develop and test AI agents/workflows, collaborate with AI research and engineers, and create training materials to accelerate product development.

Lead and architect multi-year frontier AI research programs in foundation models, agentic AI, multimodal learning, reasoning, and scalable training/inference. Translate research into production systems, design evaluation benchmarks, mentor researchers, publish at top conferences, and drive technical strategy across teams.

Lead identification, development, and deployment of AI solutions across manufacturing and business operations. Prototype and implement generative AI, ML, computer vision, LLM-based assistants, and automation. Build Power BI dashboards and data models, integrate AI with ERP/manufacturing systems, and measure outcomes and ROI.

Build, productionize, and operate AI-driven features and integrations across frontend, backend, and model layers. Prototype and deliver agent-driven experiences (conversational interfaces, RAG, tool-calling), integrate LLMs and external data sources, and collaborate with product and design. Participate in on-call/standby duties.

Design and build the agentic platform for legal AI, including orchestration, retrieval-augmented generation, evaluation infrastructure, observability, and scalable backend services. Own systems from design through production, collaborate with product, research, security, and legal experts, and establish model-operations and multi-tenant correctness, traceability, and isolation.

Lead AI-first architecture and cloud-native modernization for C#/.NET products: design agent orchestration, monolith decomposition, event-driven and GraphQL APIs, observability, resilience, AI integration, and IaC/CI/CD strategies to enable production-grade AI-driven development at scale.

Lead and grow a machine learning and AI organization, define and execute ML/AI strategy, and oversee end-to-end model development, deployment, and monitoring. Drive adoption of advanced techniques (LLMs, generative AI, NLP, CV), ensure responsible AI governance, collaborate cross-functionally, and communicate business impact to executives.

Lead commercial AI and digital strategy for the Interventional Oncology & Embolization division. Define AI roadmap, governance, KPIs, and digital product strategy; build commercial intelligence, analytics, and predictive capabilities; drive pilots, adoption, change management, and sales productivity improvements; manage and develop a high-performing team and partner across Sales, Marketing, Finance, IT, and Enterprise AI.

Serve as a strategic talent partner advising executives on hiring strategy, organizational design, and workforce planning. Lead full-cycle recruiting for engineering, AI/ML, infrastructure, and leadership roles while improving recruiting operations, sourcing automation, and candidate experience. Coach managers across the employee lifecycle and use talent intelligence to influence business decisions.

Lead full-cycle technical recruiting for engineering and AI teams, owning sourcing, interview design, stakeholder advising, and offer management. Build proactive pipelines, advise on market compensation and hiring strategy, champion recruiting operations and AI-enabled sourcing tools, and continuously improve hiring metrics and candidate experience for senior and principal-level technical hires.

Senior strategic finance partner for AI and Analytics products. Own forecasting, pricing, monetization, investment business cases, KPI/reporting, and lead a small analytics team to guide product, engineering, and GTM decisions.

Lead design, bring-up, validation, and optimization of AI accelerator systems and GPU clusters for production ML workloads. Debug system-level issues across hardware, firmware, and software, build automated test and monitoring tooling, collaborate with vendors and cross-functional teams, and mentor junior engineers.

Lead deployment, optimization, and resource scheduling of vehicle and cloud AI models. Design low-latency inference pipelines, build system stability and profiling frameworks, optimize GPU execution, and scale LLM serving for simulation and validation. Collaborate with perception, cloud, and safety teams to enable reliable, production-grade autonomous deployment.

As a Senior Full Stack Developer, you will build an AI voice agent SaaS platform, work across the stack, lead through code quality, and automate development processes.

Design, build, and operate production AI agent systems using modern LLM APIs and agent SDKs. Own end-to-end architectures, integrations, observability, progressive delivery, and reliability. Mentor engineers, participate in technical design reviews, and collaborate with product peers to deliver scalable, stable legal AI agent tooling.

Own DevOps, maintenance, and support for an in-house Open Web UI serving ~2,500 users. Manage lifecycles across Dev/Prod, triage infrastructure and user issues, maintain CI/CD pipelines, and contribute to AI Platform development within an Agile team.

Embed with Marketplace teams to discover and prioritize AI opportunities, rapidly prototype and validate AI/LLM solutions using enterprise data, and partner with Technology and Data teams to productionize, measure, and drive adoption of scalable automation and ML solutions.

Design, build, and deploy AI-powered features for a SaaS platform by integrating LLMs and cloud AI services. Develop scalable backend services, REST APIs, and data pipelines, prototype AI capabilities, optimize performance, and collaborate across Product, UX, and Engineering to deliver production-ready, well-tested customer-facing solutions.

Lead discovery, prototyping, and delivery of AI/GenAI products. Define PRDs, build prototypes, scope requirements, run evaluations, partner with engineering/data/design, and shepherd solutions through enterprise AI governance to production.