Top Artificial Intelligence Jobs

The Support Team Associate responds to client support issues via phone, email, and chat, diagnosing problems, creating documentation, improving AI support, and maintaining customer satisfaction.

Design, build, and maintain custom applications using Google AppSheet; integrate apps with Excel and SQL databases; gather requirements from stakeholders; implement workflows, dashboards, and data models; monitor and optimize app performance; provide user training and documentation; apply AI and process-improvement methods to automate and enhance PMO operations.

Provide legal advice and governance for firm-wide AI initiatives, partnering with IT, security, procurement, and business teams. Advise on data use, privacy, IP, confidentiality, vendor contracts, and regulatory developments; develop policies, training, and standards to enable responsible AI adoption and mitigate operational, legal, and reputational risk.

Lead and execute long-term R&D strategy for materials and chemical product development. Oversee R&D portfolio, mentor directors/managers/engineers/scientists, build talent, drive commercialization and IP generation, develop technology roadmaps, and align R&D with corporate strategy and customer needs.

The Client Partner will build and expand strategic relationships, influence commercial strategies, and drive growth in analytics, AI, and cloud platforms in the Life Sciences sector.

Lead business development and program delivery in the Oak Ridge area for federal and energy clients. Develop capture plans, strategic partnerships (DOE, DOD, national labs, TVA, EPCs, MWBE), recruit local talent, negotiate contracts, and manage programs with $20M–$75M capital spend. Drive regional market growth and stakeholder engagement through conferences, proposal responses, and cross-sector collaboration.

Develop and direct content marketing strategies with an SEO emphasis; translate SEO metrics into measurable outcomes; coordinate cross-functional teams and agency partners; execute integrated inbound campaigns and optimize content for RankBrain-era search.

Lead content and SEO strategy and execution to drive measurable results for B2B and tech clients. Develop holistic SEO strategies, manage client campaigns, oversee execution, mentor teams, and maintain strong client retention through data-driven SEO and content marketing.

Perform systems engineering for aerospace products including MBSE modeling and simulation, requirements definition and verification, design analyses, documentation, root-cause investigations, cross-functional IPT support, and compliance with aerospace standards to meet schedule, cost, quality, producibility, and reliability targets.

Lead SEO strategy for multiple B2B and technology clients, build holistic content-driven SEO plans, coordinate execution and training across teams, run client communications and reporting, and ensure measurable SEO-driven revenue growth and long-term client retention.

The Account Manager will drive sales and renewals, manage customer relationships, and support customers with diverse needs while achieving bookings and conducting market evaluations.

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.