Top Artificial Intelligence Jobs

Develop and deploy autonomous and collaborative robotics for radioactive hot-cell environments. Program robots, create tooling and fixtures, support robotic research equipment and experiments, troubleshoot motion and hardware/software integration, and apply AI/ML, LLMs, sensor methodologies, and performance analysis to improve efficiency. Collaborate with scientists and engineers on irradiated-materials research while supporting hot-cell equipment modifications and facility engineering activities.

Leads digital health and AI strategy for oncology and hematology clinical development. Partners with pharmaceutical R&D teams to develop operating models, roadmaps, business cases, and digital solutions for patient recruitment, remote monitoring, digital endpoints, and engagement. Optimizes clinical trials, evaluates vendors, leads pilots and implementations, supports regulatory and validation activities, and translates between clinical, business, data science, and technology stakeholders.

Develop and execute quantitative analytics and statistical modeling projects supporting fair lending activities. Build and test credit risk models for mortgage and financial products, implement models in software, conduct back-testing, stress testing, and performance monitoring, and document methodologies for regulatory model oversight. Provide technical support to business areas, independently resolve complex issues, and communicate analytical findings clearly.

Leads a national sales team serving State Departments of Corrections and state-funded Port Authorities. Responsibilities include recruiting, coaching, retaining quota-carrying sellers, managing territory and quota strategy, improving pipeline and forecast discipline, supporting competitive pursuits, partnering with channel teams, and representing customer insights to Marketing and Product. The role requires public-sector sales expertise, corrections market knowledge, channel fluency, AI tool adoption, executive presence, and at least 50% travel.

Owns an AI/LLM product area from concept through launch and end of life. Defines product strategy, roadmaps, requirements, priorities, success metrics, pricing, packaging, and go-to-market plans. Partners with customers, Sales, Engineering, Operations, and leadership to validate needs, guide UX decisions, manage phase gates, and deliver commercial outcomes. The role also supports product marketing through collateral, webinars, seminars, tradeshows, and reference materials.

Leads Gilead’s global benefits and wellbeing strategy, governance, design, delivery, compliance, and continuous improvement. Oversees health, retirement, financial wellbeing, leave, mobility, expatriate, and employee support programs across countries. Manages a global team, vendors, investments, risk, analytics, technology initiatives, and transformation efforts while partnering with HR, Finance, Legal, Procurement, Payroll, and business leaders. Supports employee experience, mergers and acquisitions, operational excellence, and talent development.

Teach undergraduate writing, composition, rhetoric, creative writing, developmental English, and literature courses. Develop and adapt curricula addressing artificial intelligence in writing instruction, support authentic student learning, and participate in departmental discussions and policy development. Engage students inside and outside the classroom while integrating Christian faith and learning. The role requires undergraduate teaching dedication, participation in a Christ-centered academic community, and potential consideration for a future tenure-track position.

Leads a $50M+ financial services and private equity client portfolio with full P&L accountability. Drives revenue growth, profitability, client retention, executive relationships, new business acquisition, and transformation initiatives spanning data, analytics, automation, modernization, and AI. Develops and coaches Client Partners, shapes strategic solutions, oversees delivery performance, and promotes employee engagement and growth.

Leads Cisco’s Solutions Engineering team supporting enterprise customers in the NYC Metro area. Drives technical sales strategy, customer lifecycle success, account planning, revenue growth, and cross-functional solution development. Builds team capability through coaching, talent development, performance analytics, and succession planning. Acts as a strategic technical advisor on Cisco technologies, AI, digital transformation, competitive positioning, and complex customer engagements.

Designs, prototypes, and implements AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Evaluates AI tools and platforms, integrates capabilities into existing workflows and development processes, and supports organizational adoption through guidance and demonstrations. Collaborates with engineering, security, compliance, and business teams to deliver reliable solutions for sensitive and classified environments while advising on AI trends, security, compliance, and adoption strategies.

Develops and integrates AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. The role researches and prototypes AI tools, supports secure deployment in classified environments, guides organizational adoption, and collaborates with engineering, security, compliance, and program teams. Responsibilities include evaluating emerging technologies, integrating AI into workflows and CI/CD processes, ensuring reliability and compliance, and mentoring junior engineers.

Develops and integrates AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Responsibilities include researching AI tools, prototyping and deploying solutions, integrating capabilities into workflows and CI/CD processes, supporting adoption, and advising on emerging technologies. The role collaborates with engineering, security, compliance, and business teams while ensuring solutions meet security requirements for sensitive and classified environments.

Own and scale technical enablement programs for Sales Engineers, Solutions Architects, Professional Services Engineers, and other technical go-to-market teams. Responsibilities include onboarding, certifications, hands-on labs, technical training, product-release enablement, sales methodology adoption, content governance, development paths, coaching support, and measurement. The role partners with Product, Engineering, Product Marketing, and GTM leadership to improve technical readiness and execution across discovery, demos, POCs, and architecture engagements.

Full-time interns support marketing and sales systems projects, collaborate with cross-functional leaders, develop business cases and rollout plans, track milestones, and evaluate project outcomes. The program includes mentorship, networking, professional development, industry exposure, and a final presentation to senior leadership. Interns must be enrolled in college, have completed at least two years toward a bachelor’s degree in MIS, business, or a related field, and be available for 40 hours per week for 12 weeks.

Leads global data operations for robotics and AI training datasets, overseeing collection, annotation, quality control, delivery, vendors, budgets, compliance, and process scaling. Builds and manages distributed teams, establishes operational KPIs, coordinates with clients and technical teams, and ensures training-ready multimodal data meets quality and regulatory standards.

Own end-to-end robotics data collection and annotation projects, translating client AI and robotics requirements into precise specifications. Coordinate engineering, algorithms, data operations, and annotation teams across global regions. Monitor production quality, SLAs, costs, timelines, and data pipelines while establishing validation and spot-check systems. Identify workflow bottlenecks and partner with software teams to automate processes. The role requires project management experience in AI data services, autonomous driving, robotics, or high-throughput data operations, plus strong technical and cross-functional communication skills.

Analyze structured and unstructured data to identify insights and solve client problems. Develop predictive models, algorithms, quantitative analyses, visualizations, and data-processing systems using machine learning, artificial intelligence, and natural language processing. Collaborate with clients to understand analytical needs and translate complex datasets into objective, actionable information. The role requires TS/SCI clearance and supports applications across public and private sectors.

Analyze structured and unstructured data to identify insights and support client decision-making. Responsibilities include data exploration, cleaning, visualization, predictive modeling, quantitative analysis, and deploying machine learning, NLP, and text-mining techniques. The role involves gathering client requirements, developing algorithms, and working with tools such as Python, R, SQL, distributed computing platforms, and visualization packages. Candidates must be able to obtain a Secret clearance.

Develop and support operational wave and storm surge modeling systems for the National Weather Service. Responsibilities include numerical and probabilistic modeling, atmospheric forcing, model validation, ensemble analysis, HPC execution, system integration, web-based visualization, and transitioning research capabilities into operations. The role collaborates with federal agencies, academia, and industry to improve coastal hazard guidance and marine forecasting.

Lead end-to-end marketing strategy for strategic ecosystem partnerships, including annual planning, co-marketing campaigns, demand generation, budget management, pipeline attribution, executive reporting, events, and partner enablement. Collaborate with partner leads, marketing teams, AI and industry marketing, events, and leadership to grow joint pipeline and revenue while strengthening EXL’s AI and data positioning.

Manage complex, high-severity general liability injury and property damage claims from initial notice through resolution. Investigate coverage, liability, damages, reserves, and policy issues; negotiate settlements; coordinate with counsel, vendors, and stakeholders; and manage litigation strategies. Maintain accurate claim records, communicate with customers, mentor claim professionals, improve practices, and adopt new technology. An active adjuster license and relevant insurance license must be maintained where required.

Build and scale Lightfield’s sales organization by recruiting, onboarding, coaching, and developing Account Executives. Own the sales playbook, including discovery, demos, qualification, and deal execution. Improve funnel conversion, forecasting, and team performance through data-driven processes and operational rigor while establishing a high-performing sales culture.

Designs, develops, and maintains warehouse automation and parts-distribution technology solutions. Responsibilities include enhancing warehouse management systems, integrating ASRS platforms, building dashboards and data pipelines, implementing AI, machine learning, and robotic process automation, reviewing code, leading technical design decisions, and troubleshooting hardware, network, and service issues. The role also supports application modernization, systems architecture, web services, infrastructure planning, and containerized deployments.

Lead SETA programmatic and technical advisory support for a government AI datacenter program. Oversee contractor deliverables, performance auditing, integrated master scheduling, infrastructure retrofits, SCIF accreditation compliance, risks, stakeholder coordination, and executive reporting. Advise federal program leadership on facility conversion, high-density compute infrastructure, commissioning, supply-chain dependencies, and technical acceptance while maintaining non-inherently governmental function boundaries.

The role involves executing legal processes for sales, negotiating complex agreements, collaborating with multiple internal teams, and improving legal documentation for a cloud-based service company.