Top Artificial Intelligence Jobs

Supports commercial market intelligence through market, customer, competitor, and industry research. Analyzes qualitative and quantitative data, creates dashboards and presentations, identifies growth opportunities, and develops actionable insights for commercial decision-making. The intern also explores artificial intelligence, generative AI, and automation to improve research and reporting workflows, while completing a manager-assigned project and presenting recommendations to stakeholders.

Supports commercial teams with proposal development, RFP/RFI responses, customer and industry research, sales enablement, and process improvement. The intern will organize commercial information, maintain templates and knowledge resources, assist with AI and automation initiatives, and complete a manager-assigned project during a 10-week program. Responsibilities require cross-functional collaboration, communication, analysis, organization, and presentation of final recommendations.

Develop and execute sales plans, prospect for new business, build executive-level client relationships, demonstrate products, negotiate contracts, close deals, and exceed sales quotas. The Account Executive will sell technology and SaaS solutions to managed service providers, collaborate with technical teams, monitor market trends, provide forecasts, and represent the company at business events.

Leads complex insider threat investigations by analyzing technical and behavioral indicators across security, HR, and enterprise data sources. Conducts threat hunting, develops risk assessments, gathers evidence, and presents findings to executives. Enhances detection use cases, investigative procedures, dashboards, reporting, and monitoring capabilities. Partners with HR, Legal, Privacy, Compliance, Information Security, and business leaders to mitigate risks while ensuring investigations comply with privacy, legal, ethical, and organizational requirements.

Lead GE Aerospace’s global business SOX program transformation, including risk-based scoping, control rationalization, testing innovation, automation, deficiency evaluation, and integration with IT controls. Advise executives, external auditors, and governance groups while managing a distributed global team, co-source resources, budgets, and talent development. Drive technology-enabled compliance, continuous monitoring, process improvement, and controls integration across system implementations, acquisitions, and business transformations.

Leads and advises on systems engineering across complex national and allied geospatial-intelligence systems. Responsibilities include requirements analysis, architecture traceability, solution design, systems integration, reliability, risk management, cloud capability assessment, trade studies, technical planning, and project management. Oversees contractor systems engineers and supports multi-agency acquisition, requirements, and engineering activities for large-scale cloud, on-premise, and hybrid environments.

Lead and evolve the enterprise AI risk and governance framework. Identify and assess emerging AI risks, translate them into governance and controls, run AI approval processes, provide second-line challenge to stakeholders, partner across functions to embed controls, and strengthen monitoring, transparency, and scalable governance for AI initiatives.

Own the US Cards customer lifecycle, product vision, roadmap, and growth from first transaction through retention. Lead credit line management, engagement, pricing, propositions, mobile app experiences, and new credit products. Work hands-on with AI tools to prototype, analyze, and implement solutions while partnering across Credit, Growth, Design, Data Science, Compliance, and leadership. Drive measurable outcomes through experimentation and data-informed decisions.

Manages technical service delivery across multiple customer field sites, including team leadership, customer escalations, SLA and KPI performance, staffing, coaching, contract compliance, process improvements, and collaboration with sales and business stakeholders. The role oversees 10–25 technical employees across one to six sites and requires approximately 35% travel.

Lead BIM strategy, implementation, and governance on complex building projects. Develop BEPs and CDEs (ACC/ProjectWise), manage model coordination/clash detection, integrate 4D/5D workflows, support digital handover and digital twin, automate workflows with Dynamo/Grasshopper, mentor teams, and maintain BIM standards and compliance with ISO 19650.

Defines enterprise data and AI infrastructure architecture for physical AI and autonomous systems. Designs data domains, canonical models, data products, GPU platforms, distributed training environments, simulation pipelines, MLOps workflows, and edge deployment architectures. Leads technology evaluation, technical standards, implementation planning, and cross-functional delivery across cloud and on-premises environments. Enables engineers and data scientists to develop, validate, and deploy scalable AI models for autonomous construction equipment.

Owns the technical vision, architecture, and roadmap for Caterpillar’s high-fidelity simulation platform supporting physical AI and autonomous construction and mining machines. Defines physics, sensor, rendering, scenario, execution, and training abstractions; establishes fidelity, determinism, performance, and developer experience standards; and leads sim-to-real validation. Collaborates across simulation, digital twin, AI, autonomy, perception, controls, and machine engineering teams while scaling deterministic simulation across GPU clusters and cloud infrastructure.

Build repeatable AI product packages that drive customer adoption from initial use to team-wide deployment. Partner with Product, Engineering, and Customer Success to solve technical blockers, translate customer needs into use cases, support Motion’s internal marketing team, and help influencers adopt Runneth. The role combines customer relationship management, marketing knowledge, hands-on AI building, technical problem-solving, and evolving customer success ownership.

Leads digital manufacturing transformation by managing Mendix application roadmaps, business requirements, Agile delivery, AI use-case prioritization, and product lifecycle activities. Partners with manufacturing, quality, supply chain, engineering, analytics, architecture, cybersecurity, and vendors to deliver compliant digital solutions. Supports process improvement, UAT, deployment readiness, governance, audit readiness, and KPI measurement across regulated manufacturing operations.

Owns the build, deployment, reliability, and operational tooling for ServiceNow Otto across SaaS environments. Responsibilities include Kubernetes infrastructure, CI/CD, GitOps, infrastructure as code, observability, incident response, cloud architecture, and production operations for AI-native services. The role partners with software engineers and applied scientists to improve deployment velocity, reliability, scalability, security, and cost efficiency while operating LLM-powered and agentic applications.

Lead the DevOps practice for ServiceNow Otto’s conversational AI platform. Own cloud-native build, deployment, release automation, Kubernetes infrastructure, observability, incident response, and reliability across SaaS environments. Develop infrastructure tooling, CI/CD and GitOps workflows, and secure, scalable infrastructure automation. Partner with scientists and engineers to operate LLM and agentic services in production while improving deployment velocity, resilience, cost efficiency, and operational performance.

Leads and develops a UX team while contributing hands-on to research, discovery, interaction design, prototyping, testing, and delivery. Defines UX strategy across multiple products, promotes accessible and human-centered design, and partners with Product, Engineering, Marketing, and business stakeholders. Builds an AI-focused UX culture by guiding responsible experimentation, AI-enabled workflows, rapid prototypes, training, and team adoption. Provides mentorship, design critiques, coaching, and cross-functional leadership across geographically distributed teams.

Leads Gartner Consulting’s Public Safety and Justice industry practice by growing client relationships, managing engagements and consulting teams, driving sales, and shaping market strategy. Advises senior public-sector clients on AI, digital transformation, operational-system modernization, analytics, cloud strategy, sourcing, security, benchmarking, and cost optimization. Develops industry insights, consulting intellectual property, and go-to-market strategies while building high-performing expert teams and delivering strategic technology outcomes.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

Build and operate production-grade agentic AI and large language model services for Finance workflows. Responsibilities include developing AWS cloud-native platforms, retrieval and context-engineering capabilities, APIs, front-end integrations, evaluation and observability systems, and scalable event-driven services. The role also involves optimizing performance and cost, implementing secure AI guardrails, troubleshooting distributed systems, and contributing to technical standards, documentation, code reviews, and responsible AI development practices.

Leads the technology roadmap across portfolio companies, including ERP transformations, cloud migrations, infrastructure, cybersecurity, data governance, AI strategy, vendor management, budgets, and business continuity. Partners with executives and boards to prioritize initiatives, measure ROI, manage change, and drive user adoption. Oversees external providers, supports IT hiring and development, and establishes scalable technology playbooks across the portfolio.

Lead Cloudflare’s global Trust and Safety organization, overseeing investigators and engineers handling legal information requests, abuse reports, fraud, account security, and sensitive escalations. Develop scalable policies, automated systems, transparency reporting, and fair enforcement processes across global markets. Recruit and manage a 24/7 team, collaborate with Legal, Policy, Security, Product, Engineering, and executives, and represent Cloudflare with regulators, government officials, industry groups, customers, and the press.

Leads architecture for international infrastructure platforms, shaping target-state designs, technical governance, technology evaluations, secure production code, and engineering standards. Provides technical direction across teams, reviews and debugs code, and influences product and operational decisions. Uses enterprise-authorized AI to accelerate architecture analysis, program planning, risk synthesis, governance, and reporting while validating outputs and protecting sensitive data. Requires strong software architecture, development, testing, operational stability, communication, and cross-regional technology experience.

Lead development and production deployment of machine learning systems for time-series anomaly detection in connected-device environments. Build streaming and MLOps pipelines, tune alerts, monitor model drift, and integrate AI systems with LLM-based assistants. Guide architecture, tooling, observability, and production readiness while mentoring and managing applied AI and full-stack engineers. Collaborate across engineering, product, data, and research teams.

Leads HPE’s national security policy and government relations initiatives across networking, AI, high-performance computing, cybersecurity, export controls, and federal sales. Builds relationships with government and Congressional stakeholders, interprets regulations, develops policy positions, supports compliance and sales enablement, advocates for technology modernization, and communicates HPE’s positions to public-sector audiences. Coordinates with legal, business, communications, and global operations teams while mentoring colleagues.