Top Artificial Intelligence Jobs

Reverse engineer malicious code, develop malware analysis methods and tools, identify emerging threats, and document findings for government and other high-impact customers. The role applies AI to reverse engineering, analyzes binaries across architectures and operating system levels, prototypes tools, creates malware signatures, and contributes through technical reports, presentations, collaboration, mentoring, and training. Occasional travel and an active Department of War security clearance are required.

Leads planning and execution of high-visibility strategic initiatives for the university president’s office. Develops workplans, timelines, governance routines, dashboards, and reporting; coordinates cross-functional stakeholders and dependencies; monitors risks, resources, milestones, and accountability; facilitates decision forums; supports organizational readiness and change; and prepares concise executive briefings. The role requires discretion, sound judgment, strong communication, and the ability to influence without formal authority in a complex, decentralized environment.

Own enterprise sales for Minneapolis and the surrounding region, including territory strategy, prospecting cybersecurity organizations, full-cycle sales, complex deal closing, product demonstrations, customer relationship management, and quarterly target attainment. The role also partners with Product, Marketing, and leadership to refine go-to-market strategy, sales methodologies, messaging, and market positioning for an early-stage AI security company.

Participates in a 10-week sales internship supporting market analysis, customer and industry research, prospect identification, AI capability assessment, and development of sales and marketing materials for catastrophe risk management solutions. The intern analyzes data, identifies trends, contributes to customer-value initiatives, and collaborates with sales teams while developing quantitative, communication, and problem-solving skills.

Develop and integrate AI-enabled features (LLMs, agents, ML) into applications, write and test production-quality code, troubleshoot performance, and collaborate with product and engineering teams. Support monitoring, evaluation, and continuous improvement of AI capabilities; may work nights/weekends as needed.

Leads IRC’s humanitarian research strategy, teams, and cross-sector projects; serves as a principal investigator and Institutional Review Board Chair; strengthens ethical research systems, data practices, reproducibility, and AI-enabled methods; builds partnerships, publishes findings, influences policy, fundraises, and manages budgets. The role requires extensive research leadership in humanitarian or development contexts, strong publication and fundraising records, and travel up to 25%.

Leads Cisco Networking’s AI/ML product strategy, vision, roadmap, and scalable data platform development. Directs and mentors product managers while partnering with engineering, design, go-to-market, and Cisco’s central AI team. Engages enterprise customers, identifies AI-driven solutions to networking and digital experience challenges, and guides development of native AI/ML capabilities across networking products.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Develop and evaluate supervised and unsupervised machine learning and AI models for a federal law enforcement data program. Apply NLP to extract and enrich entities from unstructured data, prepare structured and unstructured datasets, create visualizations, and communicate findings to technical and non-technical stakeholders. Collaborate with an Agile delivery team on enterprise data analytics and mission-focused modeling.

Develops procurement analytics roadmaps, integrates data from business systems, and creates dashboards, reports, forecasts, and self-service tools. Partners with procurement and cross-functional teams to improve processes, automate manual work, establish data governance, and support enterprise transformation. Translates complex business challenges into actionable recommendations, evaluates emerging analytics and AI technologies, and communicates insights to technical and non-technical stakeholders.

Owns the full sales cycle for complex, high-value AI research workspace opportunities, from prospecting and discovery through negotiation and closure. Builds executive stakeholder relationships, generates new business, supports strategic renewals, leads workshops, develops business cases, and communicates measurable value from AI-powered research and knowledge workflow solutions. Requires enterprise sales expertise, AI fluency, consultative selling skills, and extensive regional travel.

Leads large, complex military-focused programs and Business Unit operations, supporting senior leadership, program managers, customers, growth pursuits, and enterprise integration. Oversees scheduling, pricing, technical performance, budgets, revenue, profit, bookings, and DSO. Drives AI and automation efficiencies, develops solutions for customer challenges, and coordinates strategy across functional teams. Requires periodic travel to customer and operational locations.

Leads federal proposal estimation and commercial solution strategy from capture through submission. Develops BOEs, LOEs, staffing models, pricing approaches, technical narratives, and CONOPS for labor-based, managed-service, subscription, consumption-based, and XaaS offerings. Partners with capture, pricing, finance, recruiting, engineering, and subject-matter teams while applying AI, automation, analytics, and advanced estimation methodologies to improve proposal quality, affordability, and execution risk.

The Chief Information Officer leads enterprise technology strategy, IT operations, infrastructure, cybersecurity, business applications, data governance, artificial intelligence, and digital transformation. The role advises executive leadership, manages technology budgets and portfolios, oversees vendors and compliance, and leads technology teams. It also provides executive oversight of a revenue-generating IT consulting practice, including its financial performance, client delivery, staffing, growth, and service quality.

Leads strategic planning, cross-functional consulting, and client-facing business enablement initiatives focused on marketing data, analytics, technology, and measurable growth. Develops long-term roadmaps, actionable use cases, measurement plans, and executive presentations; translates complex analytics and AI solutions into business actions. Coaches matrixed teams, identifies growth opportunities, partners with marketing and media stakeholders, and guides integrated data-driven activation strategies.

Leads Cloudflare’s growth sales segment for AI and startup accounts, driving new customer acquisition and enterprise expansion. Responsibilities include owning revenue targets, recruiting and coaching a sales team, selling cloud and developer platform solutions, converting self-serve usage into enterprise agreements, and building relationships with founders and venture capital partners. The role requires expertise in cloud infrastructure, SaaS, developer platforms, AI workloads, modern application architecture, and hybrid product-led and enterprise sales motions.

Leads exhibitor financial planning, forecasting, budgeting, capacity planning, KPI reporting, performance analysis, and executive presentation support. Manages and develops a team of analysts, partners with Sales, Finance, and Operations stakeholders, builds analytical models, communicates insights to senior leaders, and drives process improvements using data and AI.

Paid 10-week AI and data science internship supporting data analysis, dashboards, machine learning, generative AI, LLM, and AI application projects. Interns will work with technical and business stakeholders, research emerging technologies, develop prototypes, and present insights within the asset management industry. Undergraduate and master’s tracks offer exposure to business intelligence, cloud platforms, financial technology, and production-ready AI solutions.

Designs, develops, and troubleshoots secure, scalable ML software systems and services. Builds production code, architecture artifacts, APIs, and distributed microservices; analyzes data to improve applications and system architecture. Uses AI-assisted development tools responsibly, validates generated outputs, and guides peers on secure engineering practices. Requires Python and ML framework expertise, cloud-native technologies, public cloud experience, distributed systems knowledge, and Cassandra or equivalent NoSQL experience. Preferred experience includes GPU workloads, model serving, distributed inference, model compression, and edge deployment.

Leads strategic planning, consulting, and advisory engagements centered on customer marketing data, analytics, technology, and measurement. Develops multi-year roadmaps, use cases, and insights-to-action recommendations; translates complex analytics and AI/ML solutions into business strategies; guides client growth and activation; and leads matrixed teams through coaching and collaboration. The role also supports executive presentations, thought leadership, market opportunity assessments, and cross-functional integration across analytics, marketing, media, and technology.

Monitor payment, fraud, and risk metrics across iLottery and iGaming businesses. Analyze transaction performance, investigate anomalies and fraud events, identify data-quality issues, produce reporting, and recommend operational improvements and cost savings. The role uses Excel, business intelligence platforms, AI, and machine learning techniques to improve detection capabilities, maintain controls, support payment providers, and communicate findings to leadership.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

Designs, develops, and troubleshoots secure, scalable ML systems and services. Builds production software in Python using ML frameworks, cloud-native technologies, distributed systems, microservices, and NoSQL databases. Creates architecture artifacts, analyzes large datasets, improves system reliability and performance, and uses AI-assisted development tools responsibly. Preferred experience includes GPU workloads in Kubernetes, model-serving frameworks, distributed inference, model compression, and edge deployment.

Leads Axios Product, Design, and AI Enablement organizations; establishes company-wide product strategy, prioritization, governance, and decision rights. Partners with senior leaders and the CTO to identify opportunities, evaluate AI-enabled ideas, and turn successful experiments into durable products and shared platforms. Oversees product portfolio management, strengthens product leadership, and guides development across editorial, revenue, operational, and consumer-facing products.

Develops and leads enterprise AI strategy and roadmaps across manufacturing divisions. Identifies, prioritizes, and scales AI initiatives involving machine vision, welding, assembly, robotics, predictive analytics, and OT systems. Provides technical leadership for AI governance, deployment, validation, MLOps, data strategy, and business cases. Partners with plant operations, engineering, IT/OT, and leadership while supporting training, documentation, cybersecurity, and responsible AI adoption.