Top Artificial Intelligence Jobs

Owns major product roadmap components and strategic initiatives for software applications. Defines product outcomes, writes epics, features, and user stories, partners with engineering and UX, leads Agile delivery, coordinates client support, manages release plans, develops training and support materials, and applies user acceptance testing and AI/ML workflow knowledge.

Tutor Intelligence invites candidates to submit general applications for opportunities involving robot design, AI, manufacturing, deployment, fleet maintenance, sales, and scaling operational processes. Applicants should demonstrate work, ownership, curiosity, adaptability, collaboration, discipline, and communication. A LinkedIn profile is required, along with a resume and optional portfolio, GitHub, papers, or PDFs describing desired projects and ideas.

Drives exploratory sales and dealmaking, coordinates customers, partners, investors, vendors, and technical teams, and advances strategic projects across commercial and product domains. The role requires clear written communication, opportunity framing, stakeholder management, structured follow-through, and the ability to turn ambiguous ideas into concrete next steps.

Leads Microsoft Security’s portfolio narrative and strategy, translating complex security and AI innovations into compelling customer and market stories. Develops messaging, content, visual assets, campaigns, launches, events, and executive communications. Coordinates product marketing subject-matter experts, facilitates cross-functional decisions, partners with go-to-market teams, and activates narratives across digital and field channels. Establishes stakeholder alignment, content review, and executive engagement processes.

Designs and runs safety evaluations for advanced AI models, including benchmarks and test environments for reward gaming, sabotage, deception, capability improvement, and constraint violations. Reviews model trajectories, experiments, and failures; audits evaluations for contamination and weak grading; collaborates with engineers on reproducible scoring environments; and publishes benchmark releases, research reports, and recommendations.

Plans and integrates cyberspace operations for USCYBERCOM-supported missions. Develops OPLANs, OPORDs, FRAGOs, concepts of support, courses of action, crisis plans, and operational guidance. Leads joint planning teams, targeting synchronization, intelligence integration, capability assessments, and transition to current operations. Applies cyber threat knowledge, networking fundamentals, relevant laws and policies, and Joint planning doctrine while coordinating across DoD and Intelligence Community organizations.

Provides legal counsel on global privacy, cybersecurity, and AI governance. Advises stakeholders on regulatory compliance, reviews AI use cases, manages privacy assessments and third-party risk, negotiates data agreements, develops compliance frameworks, delivers training, coordinates cross-functional projects and outside counsel, and responds to regulatory inquiries.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Designs and executes compliance, validation, and reliability tests for HPC-AI mechanical and thermal hardware, electronics enclosures, and production tooling. Responsibilities include testing tolerances, form/fit/function, shock and vibration, electromagnetic interference, safety, acoustics, system power, and thermal performance. The role collaborates with internal and outsourced engineering partners to develop reliable, cost-effective hardware solutions and applies mechanical design, CAD, CFD, and analytical problem-solving skills.

Supports the design, integration, deployment, troubleshooting, and continuous improvement of automated electrical, instrumentation, and test systems across manufacturing and laboratory environments. Partners with equipment suppliers and cross-functional teams on requirements, procurement, installation, qualification, data exchange, and root-cause analysis. Applies testability, manufacturing, instrumentation, networking, and data technologies to improve quality, productivity, and cost performance. Provides technical guidance and supports standardization across manufacturing test systems.

Manage and grow existing banking and financial services accounts through strategic relationship management, upselling, cross-selling, and account expansion. Engage senior client stakeholders, identify technology and consulting opportunities, lead proposals and negotiations, manage sales pipelines, and coordinate with delivery and presales teams. The role requires strong BFSI domain knowledge, IT services sales experience, and a proven record of expanding enterprise accounts and achieving revenue growth.

Supports financial crimes consulting engagements through research, data gathering, transaction and control analysis, regulatory risk assessment, and project coordination. Uses data analytics and AI tools to organize findings and prepare draft deliverables, presentations, status updates, and client discussion materials. Collaborates with project teams, tracks deliverables, reviews case documentation, and applies feedback while developing financial crimes compliance, risk management, and advisory skills.

Advise clients on privacy, data protection, and responsible AI requirements. Evaluate AI systems for fairness, transparency, safety, privacy, accountability, and third-party risk. Develop governance operating models, policies, risk-tiering approaches, controls, impact assessments, and client deliverables. Interpret regulatory changes, support breach investigations, collaborate with legal, compliance, cybersecurity, data, and technology teams, and mentor junior staff. Apply technical literacy in AI/ML, GenAI, software development, technical architecture, and Python.

Leads financial strategy for Azure networking infrastructure investments, including multi-billion-dollar capital allocation, capacity planning, business cases, scenario analysis, and investment frameworks. Partners with Engineering, Capacity Planning, and Sourcing to align network deployment with growth objectives. Provides executive insights on strategy, technology adoption, resource allocation, scalability, operational excellence, and return on capital.

Lead financial planning and decision support for cloud and datacenter engineering investments. Partner with engineering, talent acquisition, procurement, and finance stakeholders on FTE and vendor resource planning, forecasting, budgeting, workforce strategy, capacity investments, resource allocation, and financial analysis. Provide scenario modeling, business insights, trade-off recommendations, and executive-level reporting to support strategic engineering priorities and optimize resource deployment.

Own the Surface business finance decision system, including planning, forecasting, reporting, analytics, modeling, and decision support. Partner with Finance, Engineering, Data, and business teams to deliver scalable solutions, trusted data standards, automation, and AI-enabled finance processes. Influence strategy, improve productivity, and drive measurable business outcomes through strong financial expertise, product thinking, and stakeholder management.

Leads Card customer analytics and AI strategy, overseeing analytics leaders, data scientists, and analysts. Drives GenAI, machine learning, experimentation, personalization, competitive intelligence, and forward-looking analysis across product, pricing, marketing, and servicing. Partners with business and technical stakeholders to deliver responsible solutions from concept through production, while building organizational capabilities, developing talent, and influencing executive decisions.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Manages and expands existing banking and financial services accounts through strategic account planning, relationship management, upselling, cross-selling, and opportunity development. Engages senior client stakeholders, identifies technology and consulting needs, leads proposals and negotiations, manages sales pipelines and forecasts, and coordinates with internal delivery, presales, finance, and leadership teams to convert opportunities and drive revenue growth.

Leads corporate planning, forecasting, unit economics, scenario analysis, and strategic financial guidance across the enterprise. Partners with executives and functional leaders to optimize resource allocation, acquisition economics, attorney marketplace performance, AI cost of sales, pricing, and cash flow. Oversees operating reviews, multi-year projections, board and investor reporting, and a four-person finance team while driving AI-enabled improvements to forecasting and analytics.

Own strategic technology partnerships from identification and business-case development through technical scoping, contract negotiation, integration, and go-to-market launch. Collaborate with Product, Engineering, Legal, Finance, Marketing, Sales, and executive stakeholders to align priorities, evaluate technical fit, close complex agreements, and deliver platform adoption. The role requires technical fluency across cybersecurity, cloud infrastructure, networking, developer platforms, or AI.

Leads multiple product squads across experience delivery, owning team direction, staffing, delivery quality, evidence-based discovery, launch readiness, and post-launch outcomes. Manages hiring, coaching, performance, capacity, and development of individual contributors into leaders. Partners with Product Strategy, Engineering, Design, Platform, and Marketing while maintaining craft standards, acceptance criteria, instrumentation, and responsible AI practices.

Defines the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, integrating classical safety systems with learning-based autonomy. Leads engineering teams across prediction, planning, control, decision-making, and safety; oversees productionization of end-to-end driving pipelines and foundation models; and partners with research teams to bring robotics, embodied AI, and generative AI advances into scalable autonomous vehicle systems.

Define next-generation data center GPU products by analyzing workloads, especially large language model training and inference. Identify customer opportunities, develop GPU value propositions and product proposals, and collaborate with engineering, operations, field teams, cloud partners, and sales on go-to-market plans, positioning, collateral, and tools. The role requires technical knowledge of GPU, software, and computing architectures, along with 7+ years of technology experience.

Own and extend NVIDIA’s production linear programming supply chain optimization model. Formulate constraints and objectives, analyze dual variables and sensitivities, maintain data integrity, and translate semiconductor supply-chain realities into mathematical models. Partner with procurement, operations, engineering, and leadership to evaluate constraints, scenarios, sourcing, capacity, and planning decisions. Evolve the optimization architecture and explore AI, machine learning, GPU acceleration, and cuOpt enhancements.