Top Artificial Intelligence Jobs

Manage credit risk for energy trading transactions involving oil, natural gas, emissions, and power. Responsibilities include counterparty credit analysis, ratings and limit setting, transaction approvals, risk-mitigation structuring, portfolio monitoring, concentration-risk assessment, and early-warning identification. The role partners with Front Office, Market Risk, Legal, Operations, senior management, regulators, and governance committees while driving process, analytics, reporting, digitalization, and responsible AI improvements.

Leads strategic initiatives for an AI-driven healthcare revenue cycle platform. Coordinates product, engineering, operations, finance, marketing, and commercial stakeholders; manages objectives, roadmaps, backlogs, releases, leadership forums, and executive communications. Translates complex technical and business concepts into compelling presentations and recommendations while identifying risks, resolving obstacles, and supporting product adoption, go-to-market execution, and market positioning.

Own go-to-market strategy, positioning, messaging, campaigns, launches, competitive intelligence, sales enablement, pipeline, and bookings for Virtuous’s AI-powered fundraising products. Partner with Demand, Sales, Product, and Engineering to create market narratives, generate pipeline, support deals, and improve win rates. This customer-facing role requires strong commercial judgment, executive communication, AI fluency, and end-to-end B2B SaaS product marketing experience.

Accounting intern supporting the financial reporting division by preparing accounting entries, financial reports, analytical reports, and work papers. The role involves collaborating with functional departments to validate financial information, documenting reporting activities, and contributing to team objectives. Candidates should be pursuing an accounting degree and be proficient in Excel and Microsoft Office. Experience with Power BI, Tableau, and AI is preferred.

Own the vision, strategy, and roadmap for Databricks’ AI-first learning platform. Build contextual guidance, adaptive learning paths, learner models, assessments, skills graphs, analytics, and personalization tools. Partner with engineering, UX, curriculum, education, and go-to-market teams to deliver scalable learning experiences for customers, partners, and employees. Define metrics, understand skills gaps, engage users, and improve platform adoption through embedded learning capabilities.

Serve as lead commercial counsel for the go-to-market organization, negotiating complex enterprise, strategic, partnership, SaaS, PaaS, IaaS, and AI agreements. Advise sales and business stakeholders on risk, regulatory, privacy, and commercial issues; build scalable legal processes, templates, playbooks, risk frameworks, CLM tools, and AI-enabled workflows; support quote-to-cash automation; and partner with senior leaders on strategic initiatives.

Build and test AI-driven tools, agents, and workflow automations that reduce manual effort and improve internal feedback loops. The intern will identify automation opportunities, evaluate AI platforms and frameworks, connect systems through APIs and scripting, document solutions, and present results to leadership. The role is part of a 10-week summer internship program focused on practical, maintainable solutions.

Own the full B2B sales cycle for industrial intelligence solutions, from prospecting and discovery through technical validation, negotiation, and close. Build relationships with manufacturing leaders, develop ROI cases, manage pipelines, coordinate pilots with engineering, and expand successful deployments across facilities and business units. The role requires consultative selling, technical curiosity, AI fluency, CRM discipline, and regular travel to customer manufacturing sites while working in person in Pittsburgh.

Own Shelfmark’s B2B marketing function, including positioning, customer evidence, content, campaigns, account-based marketing, events, sales enablement, marketing operations, and AI workflows. Partner with executives, sales, engineers, and customers to translate manufacturing technology into compelling messaging and qualified pipeline. Measure campaign performance, pipeline velocity, and marketing ROI while building scalable processes and brand visibility across industrial technology markets.

Supports product stewardship process optimization through digitization, automation, and process streamlining. Responsibilities include IT systems integration, process mapping, Power BI dashboards, documentation management, regulatory data governance, metadata tagging, document migration, and workflow automation using Power Platform. The intern collaborates with global product stewardship and internal teams during a 10–12 week assignment.

Own relationships, performance, and growth across hospital partners operating Moxi robot fleets. Lead executive check-ins and business reviews, use utilization and reliability data to improve site outcomes, manage issue-resolution projects, coordinate cross-functional teams, train clinical staff, activate use cases, and identify fleet expansion opportunities. The role is field-based with approximately 75% travel.

Own executive relationships and performance across hospital accounts operating Moxi robot fleets. Lead business reviews, communicate value using utilization and reliability data, diagnose underperformance, manage improvement projects, resolve issues cross-functionally, train clinical teams, activate new use cases, and identify expansion opportunities. The role requires strong data fluency, executive presence, project management, ownership, and adaptability in an ambiguous, highly travel-intensive environment.

Develops, edits, and maintains technical documentation, user guides, procedures, specifications, training materials, style guides, and executive communications. Translates complex technology concepts for technical and non-technical audiences while collaborating with engineering teams, stakeholders, and leadership. Supports information architecture, documentation repositories, application modernization, technical roadmaps, and enterprise technology initiatives in an onsite federal environment.

AI internship supporting business and technology initiatives through requirements analysis, data analysis, process optimization, stakeholder collaboration, project documentation, testing, and troubleshooting. The role applies artificial intelligence, machine learning, generative AI, NLP, and automation tools to improve business operations and decision-making. Interns gain experience with responsible AI, risk management, Agile delivery, business architecture, functional analysis, and insights reporting in a hybrid Chicago-based banking environment.

Leads execution of a federal CS-OPS program, overseeing contract activities, staffing, subcontractors, schedules, risks, quality, deliverables, reporting, and customer relationships. Manages multidisciplinary technical teams, integrated master schedules, project plans, corrective actions, and firm-fixed-price performance. Requires federal program management and financial management experience, executive stakeholder communication, and U.S. citizenship. Candidates must be local to the Washington, DC metropolitan area and work onsite as needed.

Leads Revenue Operations and Sales Operations for a B2B SaaS company, overseeing capacity planning, territory and quota design, board reporting, pipeline and win-rate analysis, forecasting, cohort analysis, deal desk analytics, and renewal and expansion reporting. Manages the Salesforce, Power BI, Workato, and Clari stack, leads the RevOps team, partners with Sales and Finance, and identifies AI applications for reporting and workflow improvement.

Develop and improve quantitative equity investment strategies across the full research lifecycle, including idea generation, complex data sourcing, signal construction, statistical and machine learning analysis, portfolio construction, risk modeling, trading cost analysis, and execution. The role requires presenting research findings, collaborating with investment research teams, and applying advanced quantitative methods to real investment problems.

Develop predictive models, algorithms, quantitative analyses, and visualizations using structured and unstructured data. Analyze client data, apply machine learning, AI, GenAI, and MLOps techniques, and use AWS services to create scalable solutions. Collaborate with clients, guide teammates, lead technical deliverables, and translate complex data into actionable insights. The role requires an active TS/SCI clearance and supports intelligence, fraud detection, healthcare, and other mission-focused applications.

Leads Wall Street Journal coverage of artificial intelligence, venture capital, and the race for superintelligence. Manages technology reporters, develops tips into scoops and investigative projects, builds sourcing networks, balances breaking news with enterprise journalism, and collaborates across global bureaus and media formats. Requires substantial journalism experience, direct AI, technology, or venture capital editing experience, strong line-editing and storytelling skills, and proven editorial management capabilities.

Supports AI, automation, process improvement, and financial systems initiatives for university operations. Responsibilities include documenting business processes, gathering requirements, analyzing data, supporting solution design and testing, coordinating stakeholders, assisting with Oracle E-Business Suite Financials, tracking project activities, researching emerging technologies, and supporting implementation and user adoption.

Leads global product process excellence and business transformation initiatives, converting drawing-based product knowledge into structured, governed digital definitions. Oversees product configuration, engineering platforms, PLM and ERP integrations, digital thread strategy, process standards, AI adoption, and organizational change. Partners across product development, manufacturing, IT, business transformation, and regional teams to improve data quality, traceability, configuration accuracy, order handoff, and manufacturing readiness.

Tenure-track Assistant Professor of Marketing responsible for conducting high-quality quantitative marketing research, publishing in leading journals, teaching undergraduate and graduate marketing courses, and contributing service to the department, university, profession, or community. Preferred research areas include branding, advertising, or health marketing with applications of artificial intelligence.

Tenure-track faculty member developing an impactful robotics and AI research program, publishing high-quality research, securing external funding, mentoring students, and teaching undergraduate and graduate electrical and computer engineering courses. Responsibilities include curriculum development, interdisciplinary and industry collaboration, university and professional service, and advancing inclusive excellence. Candidates must hold a Ph.D. in electrical and computer engineering or a related field by the September 2027 start date, with demonstrated research potential and commitment to teaching and inclusive academic engagement.

Own the strategy and roadmap for vehicle delivery across fleet and retail customers. Define product requirements, manage partner integrations, gather customer and industry insights, and collaborate with engineering, design, operations, commercial, and leadership teams. Drive agile product development, continuous improvement, and delivery of complex, operationally intensive products, including AI-powered features, in a fast-paced startup environment.

Principal Data Scientist supporting SAIC’s SETA mission for the NRO Ground Enterprise Directorate. Analyzes complex data, develops data-driven solutions, guides analytic strategy, evaluates data quality, supports predictive modeling, validates operational platforms, documents technical processes, and advises leadership on mission impact, model risk, and data-informed decisions. Requires extensive software engineering, data science, machine learning, statistical experience, and active TS/SCI clearance with polygraph.