Top Artificial Intelligence Jobs

Develops data-driven solutions by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Applies statistical analysis, predictive modeling, and machine learning to create algorithms and automated analytic systems. Collaborates with clients and teammates to interpret complex datasets and deliver actionable insights. The role requires a TS/SCI clearance with polygraph and supports intelligence, operations, and other public- and private-sector missions.

Lead Search Integrity research by defining technical direction, developing AI and ML systems to detect spam, scams, phishing, malicious domains, prompt injections, and other adversarial web content. Identify signals across pages, links, metadata, and site relationships; build evaluations; translate integrity signals into indexing, ranking, and filtering decisions; and partner with research, engineering, safety, and integrity teams to deploy production systems.

Build and grow strategic cybersecurity customer relationships for AI deployment engagements. Responsibilities include developing commercial opportunities, qualifying and scoping engagements, leading discovery and commercial processes, coordinating technical and deployment teams, managing senior enterprise relationships, and identifying opportunities to expand customer impact through demonstrated value.

Build and grow strategic enterprise relationships within the life sciences sector. Responsibilities include identifying AI transformation opportunities, qualifying and scoping engagements, developing business cases, coordinating technical discovery, leading commercial agreements, and guiding deployments. The role partners with OpenAI account teams, senior customer leaders, legal, finance, and technical teams while using customer insights to expand account impact.

Leads enterprise-wide people strategy, HR modernization, talent acquisition, leadership development, compensation, employee relations, compliance, and HR operations. Advises the CEO and executive team on workforce planning, organizational transformation, succession, culture, and risk. Oversees AI-enabled HR workflows, analytics, reporting, HR systems, payroll, benefits, and a three-person HR team while advancing innovation, employee development, and organizational effectiveness.

Leads FOX’s broadcast engineering organization, setting technology strategy, architecture, and multi-year roadmaps. Oversees modernization across on-premises, cloud, and hybrid environments while ensuring security, reliability, scalability, and regulatory compliance. Manages technical leaders and engineering teams, directs complex technology programs, partners with business executives and vendors, and drives operational excellence. The role also supports innovation across broadcast, streaming, media distribution, and emerging video technologies while developing talent and maintaining highly available production platforms.

Develops, integrates, and tests autonomous capabilities for defense ground, air, and maritime platforms. Responsibilities include sensor fusion, computer vision, path planning, control algorithms, modeling and simulation, hardware-in-the-loop testing, verification and validation, field testing, and performance analysis in contested and GPS-denied environments. The role collaborates across engineering disciplines, mentors engineers, supports certification and design reviews, and prepares technical documentation for government stakeholders.

Leads enterprise integrated planning across demand, supply, production, inventory, materials, capacity, and distribution. Owns the reconciled enterprise plan, advances SIOP processes, and drives a multi-year transformation roadmap using analytics, automation, and AI. Establishes governance and performance metrics, partners across business functions, and develops high-performing planning teams. The role improves service, inventory health, operational efficiency, working capital, and business growth while supporting complex manufacturing and multi-site supply chain operations.

Leads client-facing coding and CDI transformation initiatives across healthcare organizations. Advises executive and operational leaders on workflow redesign, revenue integrity, compliance, technology optimization, analytics, governance, and performance improvement. Oversees cross-functional teams, strategic roadmaps, implementation efforts, stakeholder alignment, and outcome reporting. Requires extensive coding, CDI, revenue cycle, healthcare transformation, consulting, and executive leadership experience.

Protect enterprise systems, applications, infrastructure, and data by investigating security incidents, assessing vulnerabilities and risks, coordinating remediation, and supporting PCI DSS compliance. Evaluate AI and emerging technologies for security and governance risks, manage Cisco security controls, maintain cybersecurity policies and standards, and provide security guidance, awareness training, and recommendations across technical and business teams.

Leads enterprise AI strategy, product roadmapping, and cross-functional transformation initiatives. Identifies and scales high-impact AI use cases, oversees solution development and deployment, redesigns workflows, drives adoption, advises executive leadership on AI investments and governance, and establishes KPIs for efficiency, cost, quality, and client outcomes. The role also mentors associates and manages stakeholders across business, operations, and technology teams.

Provides strategic and technical leadership for industrial hygiene and safety engineering programs supporting a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, robotics and automation safety reviews, onsite assessments, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel and requires expertise in industrial hygiene sampling, occupational exposure limits, safety engineering, and regulatory standards.

Leads a new physics algorithms engineering team developing simulation and modeling technologies for e-beam semiconductor inspection. Responsibilities include team building, technical strategy, production algorithm delivery, roadmap ownership, customer deployment support, and collaboration with computer vision, machine learning, product engineering, and semiconductor manufacturing teams. The role requires expertise in physics-based modeling, computer vision, AI, high-performance computing, and large-scale algorithm development.

Leads Landmark Credit Union’s enterprise analytics and AI strategy, roadmap, governance, and execution. Oversees business intelligence, reporting, data science, AI, automation, data platforms, responsible AI, and data governance. Partners with executives and business functions to prioritize use cases, deliver actionable insights, improve member experiences, increase efficiency, manage risk, and measure business value. Builds and leads high-performing teams, manages budgets and vendors, and communicates strategy, results, risks, and investment needs to leadership and the Board.

Leads enterprise demand generation, marketing automation, digital marketing, member journey orchestration, personalization, and MarTech strategy. Oversees Salesforce-enabled marketing technologies, AI-powered marketing capabilities, omnichannel campaigns, SEO, website and email marketing. Establishes growth plans, analytics, attribution, KPIs, and optimization programs while managing cross-functional stakeholders, marketing professionals, and agency partners. Drives acquisition, onboarding, product adoption, retention, revenue growth, and executive reporting across the organization.

Manages customer experience operations for fintech products, leading onshore and offshore support teams, performance metrics, vendor relationships, workforce planning, collections workflows, escalations, automation, and AI initiatives. Partners with Product, Engineering, Operations, Risk, Finance, and Data to improve carrier support, operational efficiency, and product launches. The role is hybrid in Seattle and requires three days onsite weekly.

Develop and improve safety systems, digital tools, dashboards, workflows, and analytics for a scalable, data-driven safety organization. Analyze incidents, inspections, corrective actions, contractor performance, and leading indicators to identify risks and support decision-making. Leverage AI, automation, and data visualization to streamline processes and improve safety performance. Partner with Safety, Construction, Commissioning, Operations, and IT teams on process standardization, data quality, change management, and continuous improvement.

Tenure-track Assistant Professor responsible for teaching hands-on undergraduate computer science courses focused on AI, machine learning, generative AI, NLP, and computer vision. The role includes conducting scholarly research, supervising student research and capstone projects, mentoring students, collaborating with industry and university partners, developing curriculum, and supporting ABET accreditation and continuous program improvement.

Tenure-track Assistant Professor of Management teaching undergraduate and graduate courses, advising and mentoring students, conducting scholarly research, supporting experiential learning, contributing to curriculum development and assessment, and participating in departmental and university service. The role emphasizes entrepreneurship, strategy, innovation, technology management, artificial intelligence, and emerging technologies, beginning Fall 2027.

Leads enterprise provider data strategy, modernization, governance, and transformation across healthcare operations. Owns the provider data platform portfolio, product roadmap, architecture, policy translation, automation, data quality, compliance, vendor relationships, budget, and operational outcomes. Partners with technology, operations, legal, compliance, benefits, and government programs to improve claims accuracy, pricing, provider directories, network performance, and payment integrity. Manages a large leadership organization and nine-figure operating budget while driving continuous improvement and regulatory alignment.

Leads the AI Innovation Team and companywide AI strategy across logistics operations. Identifies and prioritizes AI use cases, manages projects from proof of concept through deployment, establishes AI governance, evaluates vendors, develops business cases, and drives adoption. The role collaborates with Operations, IT, Data, Cybersecurity, and external partners to deliver improvements in productivity, visibility, cost efficiency, service quality, and decision-making.

Leads USCC FP&A strategy, forecasting, reporting, analytics, transformation, risk controls, and executive stakeholder partnering. Owns financial planning cycles, variance analysis, dashboards, regulatory processes, and strategic narratives for senior leadership, the Board, and regulators. Develops high-performing finance teams, drives process automation and technology adoption, and partners across Finance, Risk, Treasury, and business functions to improve decision effectiveness and operational efficiency.

Lead financial planning, forecasting, reporting, business case modeling, and cost optimization for public cloud and AI infrastructure. Partner with technology, finance, planning, and product leaders to improve spending transparency, develop chargeback methodologies, manage financial risks, and support executive decision-making. The role drives cloud financial management transformation and enterprise-wide efficiency initiatives.

Develops AI-enabled industrial engineering and capacity planning tools for Micron’s high-volume semiconductor manufacturing operations. Builds and automates capacity and utilization models using generative AI, Python, SQL, R, Excel, and VBA. Evaluates equipment, process, and roadmap impacts; improves equipment availability, forecast accuracy, and resource utilization; and presents data-driven recommendations through dashboards and executive presentations. Collaborates with Manufacturing, R&D, Operations, Engineering, and Supply Chain teams to support fab production readiness and ramp activities.

Lead strategic AI pathfinding programs from exploratory research concepts to proofs of concept. Manage roadmaps, resources, timelines, metrics, risks, and technical barriers while coordinating researchers, engineers, data scientists, SMEs, executives, and cross-functional teams. Establish repeatable processes, communicate technical findings and risks to leadership, and guide decisions to pivot, scale, or sunset experimental initiatives.