Top Artificial Intelligence Jobs

Design, build, deploy, and optimize large-scale machine learning models and infrastructure for Uber Maps, including high-throughput, low-latency prediction systems and APIs. Develop distributed ML pipelines, improve routing and ETA applications, explore optimization solutions, and provide technical leadership. Collaborate with product managers, scientists, designers, and engineers to solve complex, real-world mobility problems.

Leads the high school's daily operations, instructional program, curriculum development, faculty and staff supervision, student experience, and academic leadership. Partners with the president and departmental leaders to advance school policies, Catholic mission, strategic change, faculty recruitment and retention, student well-being, and responsible technology use. Builds strong relationships with students, families, faculty, and the broader community while supporting academic excellence and co-curricular programs.

Help users onboard, troubleshoot, and maximize Imbue’s AI products while building strong user relationships and communities. Create documentation, examples, workshops, and office hours; identify product patterns and user feedback; communicate insights to product and engineering; share customer stories; and develop scalable community support systems.

Develop predictive models, algorithms, quantitative analyses, and visualizations from structured and unstructured data. Extract insights from databases and APIs, apply machine learning and NLP techniques, lead complex solution development, and advise clients on data-driven decisions. The role requires TS/SCI clearance with polygraph and involves Python, SQL, AI engineering, production ML pipelines, and distributed computing frameworks.

Develop algorithms, predictive models, and analytical systems from structured and unstructured data. Perform data exploration, cleaning, mining, visualization, modeling, and dashboard development using Python, SQL, or R. Apply machine learning, AI, NLP, and statistical techniques to answer client questions and support informed decisions across public and private-sector challenges. Collaborate with clients and work in classified environments requiring Secret clearance.

Manages client briefs from initiation through production, coordinating client communication and internal creative, development, and production teams. Builds and nurtures client and prospective relationships, identifies growth opportunities, leads RFP and tender submissions, develops client strategies, and supports account and sales targets. The role also analyzes client needs, monitors industry trends, negotiates effectively, and uses AI to improve process efficiency.

Leads Micron’s global DRAM packaging organization, defining long-term technology strategy and delivering advanced packaging solutions including HBM, 3D integration, heterogeneous integration, and chiplets. The role oversees cross-functional product development through high-volume manufacturing, drives technology investments, develops customer and supplier partnerships, and leads digital transformation using AI, analytics, automation, and engineering productivity initiatives. It also requires building high-performing global teams and influencing business and technology direction.

Supports procurement category strategy, strategic sourcing, supplier evaluation, market research, cost analysis, negotiation preparation, and supplier performance improvement. The intern analyzes pricing and supplier data, collaborates with category managers and internal stakeholders, and explores artificial intelligence and data-driven tools to improve procurement efficiency.

Leads enterprise cloud FinOps across AWS, Azure, GCP, private infrastructure, and AI services. Develops governance, cost allocation, rate optimization, commitment strategies, savings pipelines, unit-economic models, forecasting, and executive reporting. Partners with Engineering, Finance, Product, Procurement, and cloud providers to improve infrastructure efficiency and gross margin. Helps shape AI-powered FinOps tooling, including anomaly detection, forecasting, optimization recommendations, and natural-language cost analysis. Mentors practitioners and advises senior stakeholders.

Lead and mentor a team of four designers developing AI monitoring, GPU monitoring, and agent console products. Drive cohesive end-to-end experiences, establish design quality standards, shape product strategy with Product and Engineering leaders, and deepen expertise in AI development workflows, evaluations, infrastructure, and agent debugging. Prototype and ship directly in code, conduct critiques and user testing, and develop designers through coaching and career support.

Own Salesforce as a product, setting the roadmap for Sales Cloud, Service Cloud, CPQ, Agentforce Revenue Management, and connected applications. Lead a four-person CRM product management team responsible for requirements, delivery, testing, and data quality. Partner with executives and CRM engineering, development, and administration teams to prioritize capabilities and expand AI use across the CRM ecosystem. This is a remote role reporting to the VP of Enterprise Systems and Technology.

Own full-cycle recruiting for go-to-market roles, including account executives, sales leaders, solutions engineers, partnerships, customer success, and revenue operations. Partner with GTM leadership on role definition, sourcing, assessment, interview design, candidate closing, and hiring processes. Build talent pipelines, evaluate sales capabilities, deliver strong candidate experiences, track recruiting metrics, and improve recruiting tools, workflows, compensation, and leveling guidance.

Own and establish CCC’s product documentation and structured knowledge function. Lead release notes, changelogs, documentation standards, Confluence architecture, governance, workflow integration, AI-ready content practices, and content quality audits. Build a trusted product source of truth for internal and customer-facing teams, while eventually hiring, coaching, and managing technical writers.

Analyze and optimize AI training and inference workloads across distributed systems. Design benchmarks, profile performance, identify bottlenecks, and optimize communication software using MPI, NCCL, UCX, libfabric, and RDMA. Translate modeling and benchmarking results into validated system improvements while coordinating technical work across hardware, software, networking, and architecture teams.

Leads performance optimization for large-scale AI training and inference workloads across distributed systems. Builds benchmarks, profiles workloads, identifies compute, memory, networking, and software bottlenecks, and develops C++ and Python tools. Coordinates complex performance improvements across hardware and software teams, validates results with reliable data, and guides engineering decisions that improve efficiency, scalability, and reliability at data center scale.

Lead performance strategy for large-scale AI training and inference systems. Investigate workload behavior, profiling, benchmarking, modeling, distributed communication, and multi-node scaling across hardware and software. Define measurement standards, guide optimization roadmaps, review C++ and Python tools, and influence system architecture and engineering priorities across teams.

Leads technology strategy and cross-functional initiatives for mortgage technology modernization. Develops AI adoption programs, technology roadmaps, business cases, governance, and measurable outcomes. Partners with business and technology leaders on APIs, cloud, Databricks, data platforms, reporting, loan servicing modernization, resiliency, and stakeholder experience. Provides executive-level communication, vendor relationship management, risk mitigation, team coaching, and strategic execution across complex initiatives.

Leads enterprise information and knowledge management for Joint Staff J-7, developing SharePoint and Microsoft 365 collaboration environments, Power BI dashboards, operational common pictures, KPI scorecards, data visualizations, Power Apps, and Power Automate workflows. Integrates enterprise data into executive decision-support products, applies AI capabilities, trains personnel, and ensures compliance with DoD cybersecurity, records management, accessibility, and information governance requirements.

Plans and integrates Information Operations across Joint Staff, Combatant Command, and Joint Task Force exercises. Develops operational environment products, MSEL injects, narratives, PMESII-PT analysis, and exercise control documentation. Synchronizes IO with cyber, space, intelligence, electromagnetic spectrum operations, public affairs, deception, civil affairs, and MISO. Uses AI, machine learning, analytics, and Microsoft Power Platform to improve planning and assessments. Provides briefings, operational assessments, recommendations, and lessons learned to senior military and government leaders.

Lead Adyen’s Personalize Intelligence team developing machine-learning systems for real-time Checkout optimization and AI products. Provide technical leadership on architecture, reliability, and scalable services; coach machine learning scientists and data engineers; define goals and product roadmaps with Product; collaborate across Design, Engineering, Data, and leadership; monitor system performance; foster an inclusive, high-performing culture; and recruit new team members.

Leads the strategy, governance, adoption, and rollout of AI capabilities across Corporate Affairs. Develops an AI roadmap, identifies high-impact communications use cases, partners with technology and data teams, evaluates vendors, creates training and governance frameworks, and measures adoption, efficiency, and ROI. The role also champions responsible AI use, monitors emerging technologies and regulations, and translates technical capabilities into practical solutions for communications teams.

Analyzes marketing performance, ROI, attribution, segmentation, cohorts, and testing across channels. Builds dashboards and reports, ensures data quality and lineage, partners with engineers and vendors on marketing data pipelines, and translates findings into strategic recommendations. Uses AI tools, SQL, statistical analysis, and business intelligence platforms to support demand generation, lifecycle marketing, and executive decision-making while maintaining privacy and regulatory compliance.

Leads enterprise applications, application architecture, development, integrations, data governance, AI strategy, technology roadmaps, vendor relationships, budgets, and project delivery. Oversees application support, business partnership, and engineering teams while ensuring secure, scalable, reliable platforms. Partners with executives and business leaders to align technology investments with organizational priorities, regulatory requirements, and resident and workforce needs. Develops standards, governance, lifecycle processes, and staff performance and development programs.

Manage complex enterprise IT incidents from detection through resolution. Lead rapid response calls and outage coordination, perform diagnostics, document incident communications, connect related application issues, and coach incident analysts. Communicate with technical teams and leadership, use ServiceNow and reporting tools, and contribute to internal projects and process improvements.

Leads the organization’s IT strategy, infrastructure, cybersecurity, cloud services, enterprise applications, end-user computing, and support operations. Manages IT staff, budgets, vendors, technology projects, AI governance, disaster recovery, business continuity, compliance, and service delivery. Oversees Microsoft technologies, network and systems reliability, security monitoring, incident response, technology audits, and staff training while advising executive leadership and aligning technology investments with organizational objectives.