Top Artificial Intelligence Jobs

Conducts protective intelligence monitoring, threat assessments, investigative research, and risk analysis involving personnel, executives, events, operations, assets, and reputation. Produces intelligence reports, alerts, executive briefings, and actionable assessments; supports executive protection, travel monitoring, special events, and critical incident response. Maintains intelligence records and case management systems while collaborating with security, investigations, crisis management, and business operations stakeholders.

Leads Expeditors’ centralized UX practice, managing six to eight designers while owning team development, capacity planning, resource allocation, design quality, accessibility, design systems, and AI-enabled design practices. Partners with product, engineering, and business stakeholders to prioritize UX demand, embed design in delivery, and improve operational visibility through Azure DevOps and Power BI. Establishes standards, critiques, onboarding, and career development while supporting vendor relationships and strategic planning.

Leads the Cyber Threat Intelligence function and a team of cyber threat analysts. Responsibilities include analyzing emerging threats, advising senior leaders, integrating internal telemetry with external intelligence, automating intelligence workflows, and partnering with security engineering, incident response, SIEM, SOAR, and EDR teams. The role also drives threat prioritization, attribution, collection, correlation, strategic planning, and development of cybersecurity talent.

Participate in a 24-month accelerated program developing supply chain expertise and customer account management skills. Build customer relationships, manage shipment execution from planning through delivery, use AI-enabled insights and data analytics to identify risks and improvements, support customer reviews, and collaborate with sales, pricing, operations, and capacity teams. The role includes structured training, mentorship, cross-functional rotations, and gradual ownership of customer accounts and growth opportunities.

Leads Lean Six Sigma strategy across sales, deployment, engineering, product, and marketing. Builds manufacturing improvement playbooks, diagnoses plant bottlenecks, supports customer pilots, validates AI-generated time studies, shapes product requirements, and represents the company as a manufacturing expert. The role requires hands-on factory transformation experience, customer-site workshops, cross-functional collaboration, and frequent travel.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

Own and scale the foundational agentic capability across web and mobile by defining reusable building blocks, conversational foundations, and cross-channel frameworks. Partner with Product, Design, and Engineering to write PRDs, epics, and user stories, maintain the backlog, track product metrics, and establish governance, documentation, and adoption pathways to ensure scalable, resilient, consistent agentic experiences.

Own post-implementation success for strategic audit and assurance customers. Drive product adoption, usage, and measurable value through success plans, business reviews, workflow guidance, and adoption of cloud and AI capabilities. Build trusted relationships with accounting firms, coordinate internal teams, identify risks and expansion opportunities, and communicate customer feedback to Product Management. The role requires substantial audit or assurance experience, professional accounting credentials, and strong consultative relationship-building skills.

Build identity-data quality, reconciliation, dashboard, anomaly-detection, and AI/ML analytics for the Department of Veterans Affairs ICAM ecosystem. Analyze MPI, Saviynt/APDS, Active Directory, Entra ID, and privileged-access data; support identity-risk scoring, UEBA, KPI reporting, legacy-system migration, and automated workflows. The role requires SQL and Python or R, dashboarding experience, security telemetry familiarity, a bachelor’s degree, and Public Trust eligibility.

Evaluates and compares AI-generated responses across languages, formats, and scenarios. Assesses factual accuracy, relevance, reasoning, clarity, instruction-following, safety, tone, cultural appropriateness, and usefulness. Applies detailed annotation guidelines consistently, documents evidence-based decisions, meets productivity expectations, participates in training and calibration, and incorporates quality feedback. The role requires professional French fluency with deep familiarity with French culture and strong English comprehension.

Develops simulation-based learning content, scenarios, rubrics, assessment materials, participant resources, interactor materials, and avatars. Coordinates with partners, science, delivery, operations, and engineering teams to manage project plans, timelines, milestones, deliverables, risks, contractors, training, testing, and implementation. Conducts literature reviews, synthesizes evidence, facilitates training, communicates project status, and independently manages content development projects.

Leads and scales Lantern’s commercial enablement function for a 200-person commercial organization. Responsibilities include team building, sales onboarding and ramp, GTM readiness, certification, content governance, competitive enablement, platform ownership, AI adoption, and metrics connecting enablement investments to commercial outcomes. The role partners closely with sales, product marketing, clinical, product, HR, and commercial leadership in a high-growth B2B healthcare environment.

Leads a team administering and modernizing classified Windows and Linux infrastructure, DevSecOps platforms, containerized environments, AI and ML infrastructure, and enterprise IT operations. Establishes service metrics, dashboards, support processes, workforce plans, and operational improvements. Oversees cybersecurity compliance, RMF and ATO sustainment, vulnerability remediation, system lifecycle management, and infrastructure architecture for secure, scalable laboratory environments. Provides technical leadership for Kubernetes, CI/CD, cloud-native platforms, GPU-enabled AI workloads, and classified digital transformation initiatives.

Analyze and exploit GEOINT and supplementary data using advanced data science methods within GIS frameworks to support intelligence production. Develop approaches for intelligence questions, build dynamic geospatial web applications, and collaborate with scientists, engineers, and analysts. The role requires ArcGIS expertise, strong analytical and communication skills, and an active Top Secret clearance with SCI eligibility.

Owns Watershed’s B2B content strategy and production across longform demand-generation assets, social media, blogs, webinars, case studies, and multimedia. Responsibilities include interviewing experts and customers, creating SEO- and AEO-optimized content, managing LinkedIn strategy and employee activation, repurposing content, maintaining content tracking systems, reporting on performance, and coordinating stakeholders.

Build and lead URUS’s enterprise AI capability, including team structure, strategy, roadmap, operating model, governance, and investment priorities. Partner with business leaders to identify and scale high-value AI solutions from discovery through production, adoption, and measurable impact. Provide technical direction across generative AI, agentic AI, predictive analytics, computer vision, and automation while guiding platform and vendor decisions. Establish responsible AI controls and drive organizational education, experimentation, adoption, and change.

Build and lead URUS’s enterprise AI capability, including its team, strategy, roadmap, operating model, governance, and investment priorities. Partner with business leaders to develop AI solutions from discovery through production and adoption. Provide technical direction across generative AI, agentic AI, predictive analytics, computer vision, and automation while establishing responsible AI controls and driving organizational education, experimentation, and change.

Leads the design and delivery of business intelligence, reporting, dashboards, KPI scorecards, data models, and AI-enabled insights. Partners with stakeholders and IT to integrate, govern, and optimize enterprise data. Provides forecasting, trend analysis, automation, and self-service analytics while establishing reporting standards and governance. Manages reporting roadmaps, priorities, stakeholder communications, and solution delivery, and mentors analytics team members.

Lead product vision, strategy, roadmap, and measurable outcomes for AI-native software engineering workflows and agent capabilities. Identify high-value opportunities across the software lifecycle, evaluate emerging AI tools and platforms, and guide capabilities from experimentation through production adoption. Partner with engineering, design, research, and product teams on architecture, developer productivity, platform investments, and risk management while influencing cross-organizational stakeholders and mentoring product managers.

Leads end-to-end technical solution design for complex enterprise projects, owns solution architecture and System Design Specifications, and may perform advanced coding. Advises project teams and stakeholders, designs integrations across internal, external, and third-party platforms, develops architecture documentation, evaluates risks and trade-offs, and provides technical guidance. The role focuses on Java-based distributed applications, APIs, microservices, cloud and container platforms, security, AI-enabled solutions, and regulated financial-services environments.

Leads strategic partnerships with consumer health, wearable, longevity, concierge medicine, and physician-network organizations. Owns partnership sourcing, negotiation, lifecycle management, go-to-market strategy, preventive cardiology growth, cash-pay models, competitive positioning, and specialty sales oversight. Builds scalable partnership playbooks, sales capabilities, performance metrics, and commercial tools while coordinating with Legal, Regulatory, Medical Affairs, Marketing, Finance, and Customer Success.

Drives new international business for UPS across Western New York through prospecting, relationship building, solution-based selling, presentations, negotiations, and contract closing. Develops sales strategies, analyzes markets and account data, collaborates with internal teams, supports customs compliance, monitors shipping activity, and visits customer facilities to understand global supply chain needs.

Participate in three ten-month rotations focused on discovery, product design, and inclusive design. Build foundational experience in human-centered and digital experience design while developing technical, business, analytical, and communication skills through training, mentorship, and real customer-focused work. Collaborate across disciplines, contribute to financial product experiences, manage multiple priorities, and engage in cohort development activities.

Provides cybersecurity oversight for major federal systems within hybrid cloud and AI-enabled environments. Develops and maintains RMF, FISMA, security authorization, privacy, contingency, and compliance documentation. Oversees vulnerability management, patching, risk assessments, incident support, cloud and AI security evaluations, Zero Trust alignment, and ongoing authorization activities. Leads security procedures, playbooks, and modernization efforts while advising on threats, vulnerabilities, governance, and secure technology implementation.

Leads enterprise quality engineering and testing initiatives across web, cloud, mobile, AI, APIs, and system integrations. Designs manual and automated test strategies, validates AI and machine learning systems, performs performance and security testing, manages defects, builds CI/CD automation frameworks, and drives testing standards. Partners with engineering, product, vendors, and business stakeholders while mentoring less experienced team members and guiding quality improvements across complex programs.