Top Artificial Intelligence Jobs

Leads Blue Yonder’s industry solutions marketing for manufacturing and retail. Owns marketing strategy, organizational leadership, content and messaging frameworks, go-to-market initiatives, solution launches, competitive positioning, customer and partner engagement, and executive-level industry representation. Partners with product, sales, engineering, and operations teams to translate supply chain capabilities into outcome-oriented messaging, drive pipeline and growth, support new markets and acquisitions, and develop marketing talent.

Supports AHEAD’s strategic enterprise transformation initiatives by coordinating plans, milestones, dependencies, risks, stakeholders, executive reporting, dashboards, change management, and post-acquisition integration activities. The role partners with Transformation Leads across multiple Big Bets, helps resolve barriers, maintains alignment, and promotes consistent transformation practices. It requires strong program management, analytical, communication, and change management capabilities in a complex, ambiguous environment.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Manage paid social campaigns and full-funnel strategies across Meta, LinkedIn, TikTok, Pinterest, Snapchat, and other paid channels. Oversee client accounts, analyze performance, identify growth opportunities, build client relationships, and collaborate with SEO, creative, and analytics teams. Contribute to thought leadership, coach associates, maintain quality standards, and explore automation, AI, and LLM search visibility initiatives.

Drives adoption of digital and AI-enabled products through user enablement, training, change management, self-service resources, and coaching. Designs lightweight automations and AI solutions to streamline workflows and improve productivity. Supports an internal AI champion community, responds to user questions and feedback, and helps teams independently develop practical digital solutions while fostering responsible experimentation.

Own Resolve customer implementations from prospect engagement through production go-live. Demonstrate the AI product, understand customer workflows, configure solutions, identify product gaps, and scope genuine exceptions for AI engineering. The role combines product thinking, consultative sales, technical ERP fluency, hands-on delivery, and clean customer handoffs after launch. Candidates should understand field service, asset maintenance, utilities, manufacturing, or facility management environments and be comfortable working directly with customers in operational settings.

Supports AI and cloud solution development by extracting, transforming, standardizing, and integrating text, JSON, geospatial, and other datasets. Assists with automated data ingestion, data services, pipelines, and machine learning algorithm integration for testing and operational deployment. Coordinates data requirements with project managers, customers, vendors, software engineers, architects, and data teams while managing changing priorities in a national security environment.

Leads Oracle EPM product strategy, roadmaps, lifecycle management, AI implementation, and finance technology investments. Partners with finance leaders across FP&A, financial close, and reconciliation to design solutions using Oracle EPM, ARCS, and OCI Essbase. Builds geographically distributed teams, aligns stakeholders, drives thought leadership, and translates complex technology concepts into business outcomes.

Leads the contact center quality assurance program, including scorecards, sampling, calibration, audits, reporting, and continuous improvement. Manages and develops QA professionals, analyzes customer interaction trends, and translates findings into coaching, training, process, technology, and policy improvements. Partners cross-functionally with operations, sales, service, training, HR, technology, and data teams to improve customer experience, compliance, service delivery, and business performance.

Lead strategy and end-to-end delivery for Skydio’s X10 Dock hardware and software ecosystem. Own product requirements, roadmaps, customer discovery, reliability, and product strategy while partnering with engineering, design, sales, customer success, and marketing. Guide development across hardware, firmware, computer vision, AI, and machine learning, and drive customer enablement and successful product launches.

Leads global strategic sourcing and category management for enterprise IT portfolios, including hardware, software, telecommunications, professional services, cloud, SaaS, cybersecurity, and AI platforms. Owns complex negotiations, supplier evaluation, contract lifecycle management, risk governance, savings targets, spend analytics, and supplier performance. Partners with IT, Legal, Finance, Cybersecurity, and Data Privacy stakeholders across multiple brands, while coaching sourcing analysts and supporting enterprise technology investment decisions.

Develops and maintains web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, writing software, implementing business logic, integrating web APIs, conducting unit and formal testing, troubleshooting production issues, performing impact analysis, supporting configuration control, and contributing to user training materials. The role uses HTML5, JavaScript, Bootstrap, CSS, C#.NET, SQL, Ruby on Rails, AWS, and AI technologies.

Supports marketing innovation initiatives across AI and emerging technology research, industry trend analysis, communications, content, presentations, stakeholder insights, and team effectiveness projects. The intern will help identify new marketing opportunities, contribute to discussions about evolving practices, collaborate with marketing professionals, and present project outcomes at the end of the internship.

Leads the global benefits strategy covering health, wellness, retirement, governance, compliance, vendor management, financial stewardship, and employee experience. Oversees benefits innovation, AI and technology adoption, analytics, dashboards, fiduciary responsibilities, regulatory reporting, and merger-related benefits integration. Advises senior leadership, manages multimillion-dollar budgets, leads a high-performing team, and drives benefits transformation across a large, complex organization.

Owns and oversees compliance management programs for assigned entities, products, and services. Responsibilities include assessing regulatory risks, evaluating controls, conducting testing and monitoring, managing corrective actions, advising senior leadership, preparing Board reports, supporting regulatory examinations, mentoring compliance professionals, and partnering across Legal, Operations, Finance, and business functions. The role also applies artificial intelligence and emerging technologies to improve compliance processes.

Leads workers’ compensation claims operations analytics and continuous improvement. Builds real-time reporting, identifies operational risks and root causes, coordinates cross-functional solutions, and tracks outcomes across spend categories. Partners with Analytics, IT, Product, Data Science, and Shared Services to develop scalable reporting, automation, self-service tools, and AI-enabled capabilities. Establishes business requirements, operating roadmaps, standard work, and governance while developing talent and supporting data-driven decision-making.

Leads internal consulting efforts focused on AI, automation, and operations transformation. Defines future-state operating models, evaluates and prioritizes initiatives, redesigns workflows, develops implementation roadmaps, and establishes KPI and benefits-realization frameworks. Partners with business, operations, product, IT, data, and executive stakeholders to improve deployment readiness, manage risks and dependencies, translate business needs into requirements, and track measurable value from transformation initiatives.

Supports marketing innovation initiatives across communications, content, research, and emerging technology. Responsibilities include researching trends and best practices, exploring AI applications, developing marketing materials and presentations, gathering stakeholder insights, improving team effectiveness, collaborating on projects, and presenting internship outcomes.

Own go-to-market strategy and hands-on growth execution for G2’s AI Solutions portfolio, from early beta validation through revenue and integration into G2.com. Responsibilities include defining audiences, positioning products, running acquisition and activation experiments, conducting user research, building pipeline, enabling Sales, monitoring competitive trends, and partnering with Product and Marketing teams. The role requires taking ambiguous, early-stage AI products from zero to revenue in a B2B SaaS environment.

Leads enterprise architecture strategy for data and AI modernization across business domains. Responsibilities include standardizing metadata, designing semantic data models and ontologies, guiding enterprise architecture decisions, partnering with product, engineering, data, and AI teams, supporting analytics and AI use cases, contributing to AI model development, overseeing MLOps practices, reviewing AI-generated code, and influencing senior stakeholders through hands-on execution and strategic leadership.

Leads FanDuel’s globally distributed Technology Operations organization, setting strategy for reliability, operational readiness, change and release management, incident response, service improvement, and AI-enabled automation. Manages and develops engineering teams, establishes operational metrics, improves self-service and auto-healing capabilities, supports compliance and disaster recovery, and partners with senior business, product, and engineering leaders. Serves as deputy to the SVP of Technology during major incidents and transformation initiatives.

Develop machine learning and AI methods for cybersecurity products using large-scale network telemetry. Analyze anomalies and malicious behavior, engineer features, evaluate models on imbalanced and incomplete data, establish monitoring metrics, and conduct error analysis. Collaborate with threat researchers and software engineers to productionize solutions, research emerging techniques, communicate findings, document methodologies, and mentor data scientists.

Leads product strategy, lifecycle ownership, automation and AI integration for a quant models platform within risk technology. Partners with business, technology, and executive stakeholders; defines requirements, user stories, testing strategies, resiliency improvements, and regulatory controls. Drives emerging technology adoption, product quality, and application availability while leading and developing a high-performing product team.

Provides evidence-based primary care to residents in skilled nursing facilities and senior living communities. Responsibilities include patient histories and physicals, routine rounding, regulatory and complex visits, APP mentorship and oversight, closing quality gaps, and advocating for patients. The physician serves as a clinical leader while collaborating with facility staff and using data-driven care tools.

Defines and evolves enterprise data architecture supporting analytics, reporting, governance, integration, and AI capabilities. Designs scalable Lakehouse and Medallion architectures, data models, contracts, APIs, and event-driven integrations. Establishes governance standards and trusted data products while aligning platform investments with business and regulatory needs. Leads modernization initiatives, develops data strategy and roadmaps, supports KPI frameworks, mentors technical talent, and guides distributed engineering teams.