Top Artificial Intelligence Jobs

Manages day-to-day client relationships and service delivery for insurance industry accounts. Coordinates delivery, project, sales, consulting, and support teams; monitors contracts, SLAs, risks, financial performance, resources, and client satisfaction. Supports renewals, pipeline development, upselling, and account growth while advocating for client priorities and driving continuous improvement.

Oversee daily office operations, front desk and administrative staff, facilities maintenance, security procedures, supplies, mail, meetings, events, budgets, expenses, and vendor relationships. Provide administrative support to executives and onsite personnel, assist with HR onboarding, troubleshoot office technology, coordinate repairs, and implement process improvements. The role may serve as Facility Security Officer, requires Secret clearance and U.S. citizenship, and involves local travel to Texas offices.

Advise Product, Engineering, Design, Marketing, and business teams on privacy, data protection, accessibility, consumer protection, copyright, contracts, IP, and emerging AI and autonomy technologies. Lead compliance, safety, patenting, invention harvesting, product integration reviews, and legal process development. Translate legal guidance into actionable product workflows, manage complex cross-functional projects, monitor regulatory developments, review external-facing documents, and support M&A transactions.

Leads go-to-market growth for data solutions by developing client relationships, generating pipeline, managing the full B2B sales lifecycle, negotiating contracts, closing deals, and expanding accounts. Builds co-selling opportunities with cloud data and AI partners, creates account plans, presents consultative solutions, and collaborates with consulting and technical teams on proposals and proofs of concept. Requires expertise in cloud, data, AI, and corporate finance, supply chain, or operations, with travel up to 50%.

Participate in Veeva’s Consultant Development Program, learning to implement cloud and AI solutions for Life Sciences customers. Design and configure software, lead discovery workshops, translate requirements into technical specifications, manage implementation scope and timelines, and guide customers using best practices. The role includes intensive onboarding, direct customer responsibility within three months, and advancement to Consultant in under two years. Associate Consultants work in a hybrid environment near Madison, Boston, or New York and travel up to 20–30%.

Participate in an accelerated consulting program delivering cloud and AI solutions for Life Sciences customers. Configure software, design workflows, structure data, conduct discovery workshops, translate business requirements into technical specifications, manage implementation scope and timelines, and guide customers through successful go-live. Collaborate with internal teams and external stakeholders while developing technical consulting, industry, and project delivery expertise.

Participate in Veeva’s Consultant Development Program, learning to implement cloud and AI solutions for life sciences customers. Responsibilities include configuring software, designing workflows, structuring data, leading discovery workshops, translating requirements into technical specifications, managing implementation scope and timelines, and guiding customers toward optimized business processes. The role offers hands-on customer experience, intensive onboarding, and progression from Associate Consultant to Consultant in under two years.

Leads Regeneron’s pharmacovigilance systems and enablement strategy across Global Patient Safety. Owns PV systems architecture, processes, modernization roadmaps, AI use-case prioritization, regulatory compliance, validation, and data integrity. Partners with IT, AI, cloud, compliance, and functional teams to translate requirements into solutions, oversee vendors and delivery, maintain operational reliability, and drive responsible AI adoption. Builds high-performing teams and influences enterprise priorities.

Leads complex, large-scale AI infrastructure and inference engagements with governments, sovereign enterprises, and conglomerates. Responsibilities include executive relationship management, business-case development, account planning, value modeling, pricing, forecasting, commercial negotiation, deployment, and expansion. The role translates AI, data, infrastructure, security, and governance capabilities into strategic business outcomes while navigating federated organizations and complex procurement processes.

Own and grow strategic banking and insurance accounts for a technology services organization. Build executive relationships, develop account expansion strategies, cross-sell cloud, data, AI, transformation, modernization, and managed services, and identify revenue opportunities. Partner with presales, consulting, solutioning, and delivery teams on proposals and execution. Maintain executive oversight of engagements, address concerns, and support customer satisfaction, retention, and increased wallet share.

Implement metadata governance frameworks for structured and unstructured data in cloud environments. Track data lineage and synchronize metadata across data catalogs, ESRI Kubernetes, and enterprise repositories. Use OpenLineage, Apache Atlas, and related tools to manage metadata and lineage. Enforce DoD metadata policies and NSG standards for geospatial datasets while advising clients and guiding data science teams.

Own the Data Solutions business end to end, including revenue, strategic client relationships, team leadership, and product direction. Source and close complex data deals with institutional investors, build predictable pipelines, guide pricing and forecasting, drive account adoption and expansion, coach sales and client support teams, and translate investor feedback into product roadmaps.

Teaching-focused, non-tenure-track faculty member responsible for teaching a 4-4 load of advertising and public relations courses, developing industry-responsive curriculum, mentoring and advising students, conducting relevant scholarly or professional activity, and contributing to academic service. Courses may include advertising and public relations principles, writing, media planning, account planning, campaigns, and digital and social media. The position is on campus and begins August 2027.

Leads the U.S. Creator business, executing North American strategy, driving revenue and profitability, expanding client relationships, and ensuring operational excellence. Oversees market leadership teams, develops organizational capabilities, fosters cross-functional collaboration, and advances creator technologies and AI-enabled solutions. Provides market intelligence, supports thought leadership, builds platform and creator partnerships, and delivers integrated Creator solutions that strengthen client impact and market presence.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.

Develop AI-enabled software and production applications that improve cyber operations. Partner with mission operators to identify challenges, rapidly prototype solutions, and apply Python, software engineering, AI, data analytics, cybersecurity, LLMs, Splunk, Kubernetes, Rancher, Airflow, and DevSecOps practices to mission objectives.

Owns customer research projects end to end, from scoping and contributor orchestration through quality assessment and dataset delivery. Recruits and manages expert contributors, tracks shifting milestones, evaluates output quality, and ensures deliverables meet researchers’ standards. This hands-on role combines project operations, strategic decision-making, product management, stakeholder coordination, and customer partnership in a fast-moving frontier AI environment.

Leads the engineering organization responsible for developing and executing fleet-scale nuclear power plants. Builds multidisciplinary teams, establishes engineering governance and technical controls, oversees lifecycle engineering from design through operations, and manages reactor technology providers, architect-engineers, EPCs, suppliers, utilities, and regulators. Drives constructability, operability, standardization, configuration control, nuclear safety, regulatory compliance, and AI-enabled engineering productivity across repeatable nuclear projects.

Develop and integrate AI/ML capabilities into operational software, including large language models, retrieval-augmented generation, agentic workflows, prompt engineering, and inference pipelines. Evaluate, test, document, and communicate AI system performance, reliability, design decisions, and technical contributions. Preferred experience includes secure development, DevSecOps, Kubernetes, OpenShift, CI/CD, containerized delivery, and classified or regulated environments.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develops algorithms, predictive analytics, automated workflows, and supervised and unsupervised machine learning models for federal health organizations. Analyzes complex structured and unstructured data, communicates findings to customers and nontechnical stakeholders, briefs military leaders, mentors teammates, and supports operational requirements. The role requires Python development, a TS/SCI clearance, travel within the continental U.S. up to 25%, and possible international deployments of up to 90 days.

Leads technical consulting engagements, overseeing teams, client relationships, solution architecture, and delivery across software engineering, cloud, data, AI, machine learning, and DevOps. Manages project planning, estimation, Agile SDLC execution, risks, resources, and stakeholder communication. Develops high-performing teams through coaching and mentoring, supports recruiting and business growth, and applies responsible AI-assisted engineering practices.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

Leads quality engineering activities across manufacturing and production, including inspection and testing, statistical analysis, audits, corrective actions, nonconformance management, root-cause analysis, FMEAs, control plans, and compliance with quality standards. Partners with engineering and manufacturing teams to improve processes, interpret technical drawings and GD&T, validate product quality, and resolve issues through cross-functional collaboration.

Conduct research on electric power grids, including cyber-physical modeling and simulation, power system dynamics and control under high inverter-based resources, and AI/ML applications for planning, operation, control, and cybersecurity. Collaborate on project teams, communicate research findings, and apply tools such as Python, MATLAB, OPAL-RT/RTDS, PSS/E, PSCAD, and EXata. Candidates must hold a Ph.D. by employment commencement and obtain a DOE Uncleared Personal Identity Verification credential.