Top Artificial Intelligence Jobs

Leads development, integration, validation, site transfer, and optimization of laser-based and optical tissue manufacturing processes for structural heart valves. Defines system architectures and specifications, manages technical workstreams and suppliers, troubleshoots equipment, executes experiments and process characterization, and supports regulatory-compliant qualification and production ramp-up. Mentors engineers and technicians while advancing laser safety, automation, yield, throughput, and quality across global manufacturing sites.

Own and grow a strategic pharmaceutical enterprise account for Databricks. Build relationships with CIOs, IT and business executives, identify and close opportunities, manage complex sales cycles, exceed pipeline and revenue targets, forecast in Salesforce, and promote Databricks’ cloud data platform powered by Apache Spark. Provide solution-based guidance on big data, advanced analytics, and AI while coordinating internal resources and system integrators to deliver customer value.

Leads the creation of original print, pattern, embroidery, and surface-design artwork for Urban Outfitters. Partners with design, buying, color, product development, and technical design teams on seasonal trends, layouts, colorways, engineered prints, CADs, and vendor tech packs. Maintains organized files, meets deadlines, supports the seasonal textile vision, and mentors junior designers while ensuring work reflects brand DNA and customer preferences.

Owns B2B demand-generation and growth marketing programs for an MSP-focused cybersecurity and AI company. Responsibilities include lead follow-up cadences, CRM and marketing automation workflows, sales enablement, account-based marketing, integrated campaigns, lead nurturing, audience segmentation, and performance optimization. The role partners closely with Sales, RevOps, vendors, and cross-functional teams to improve funnel conversion, pipeline influence, and revenue impact.

Own and exceed sales targets across renewals, expansions, and new business for managed security solutions. Prospect, present, close, manage pipelines and forecasts, build client relationships, attend industry events, and collaborate with marketing, legal, technical, and channel teams. The role also involves improving AI-enabled sales tools and traveling domestically and internationally, including to the Netherlands, with potential progression into North American sales leadership.

Lead enterprise B2B SaaS sales in the US, acquiring and closing strategic skilled nursing facility operator accounts. Build pipeline from scratch, manage complex multi-stakeholder sales cycles, develop executive relationships, lead negotiations involving legal and procurement, close paid pilots and rollouts, and contribute to US go-to-market strategy. Collaborate with product, technology, marketing, and customer success teams while owning a new market.

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.

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.

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.

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.

Owns paid and organic consumer acquisition, managing a $5M+ media budget against CAC, ROAS, and payback goals. Builds AI-agent infrastructure for media buying, creative testing, optimization, and reporting while maintaining healthcare compliance. Leads measurement, agencies, contractors, and a small high-output team. Also validates new revenue opportunities through prototypes, landing pages, and experimentation.

Conduct research in SoC design automation, AI-assisted hardware/software co-design loops, and AI infrastructure. Build and evaluate automated flows using simulators, software builds, ASIC or FPGA CAD, and AI agents. Measure power, speed, area, correctness, workload performance, search costs, and reproducibility. Study memory-device behavior, system bottlenecks, compute-memory architectures, and their effects on AI quality, latency, throughput, and energy. Own research questions, methods, and written results.

Supports business process improvement by researching workflows, collecting data, maintaining project records, developing presentations and reports, and designing AI-powered automation solutions. The intern bridges business teams and technical systems using AI tools and automation platforms. This is an on-site summer internship in Austin, Texas, with no relocation or housing assistance.

Lead technical direction for a generative video modeling platform, design and scale video generation and control-oriented prediction models, improve long-horizon rollout fidelity, integrate physical priors and object-centric representations, anticipate architectural bottlenecks, and mentor the team to translate research into deployable systems.

PhD residents will develop AI-for-science systems, including multi-agent research automation and LLM fine-tuning for unstructured data analysis. Responsibilities include building AI workflows, processing large heterogeneous datasets, integrating data from varied sources, evaluating models rigorously, and applying time-series, statistical, graph, causal, and Bayesian methods. The program lasts four months to one year and is based at X headquarters in Mountain View, California.

Lead a cross-functional team to develop medical coding software and improve a chart confidence pipeline. Translate stakeholder requirements, guide data scientists and engineers, evaluate recommendations, and report progress to internal stakeholders to increase automation and chart readiness.

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.

Leads AI, machine learning, cloud architecture, and software modernization for aircraft readiness systems. Designs predictive-maintenance models, performs data engineering, deploys secure cloud applications, implements CI/CD and infrastructure-as-code, integrates language models, supports RMF and ATO compliance, patches vulnerabilities, and mentors technical staff while engaging government stakeholders.

Owns an AI agent from customer discovery through production launch and roadmap development for credit unions. Responsibilities include rapid prototyping, customer and executive engagement, enterprise implementations, reusable integrations with core banking, loan origination, and CRM systems, product go-lives, launch sequencing, and transition to scaled operations. The role requires strong product judgment, B2B enterprise experience, hands-on AI work, customer presence, persuasive communication, and approximately 20% travel.

Drives enterprise adoption and revenue growth for Anthropic’s AI products by managing the full sales cycle, from outbound prospecting through launch. Develops strategic sales plans, wins complex enterprise deals, expands into new markets, negotiates customized agreements, and builds relationships across customer stakeholders. Partners with product, marketing, and go-to-market teams to communicate customer needs, improve sales methodologies, refine value propositions, and inform product roadmaps.

The AI AppSec Engineer V will secure AI solutions, mentor teams, and ensure the integration of security into AI development lifecycles. Responsibilities include threat modeling, code analysis, and contributing to security policies.

Develop and deploy physical AI systems on real robots, including learned perception, vision-language-action models, imitation and reinforcement learning, world models, autonomous behavior, and sensor-data pipelines. Prototype approaches in simulation and field environments, optimize models for latency and edge deployment, and collaborate across robotics, controls, embedded, mechanical, and product engineering teams. The role also contributes to long-term Physical AI architecture and research direction.