Top Artificial Intelligence Jobs

Leads cross-functional business transformation initiatives spanning process redesign, AI-enabled workflows, systems, data, and change management. Partners with executives and technology teams to identify opportunities, translate business needs into requirements and future-state designs, prioritize initiatives, manage delivery dependencies, and measure business value. Supports governed, secure, measurable solutions across Commercial, Finance, Customer Engagement, and Corporate Operations.

Leads strategy, roadmap, discovery, delivery, and growth for LiveRamp’s Data Marketplace. Owns initiatives spanning data quality, taxonomy, catalog discovery, pricing, activation, measurement, partner integrations, governance, privacy, and scalability. Partners with Engineering, Data Science, Design, Commercial, Legal, Privacy, and Operations to deliver marketplace products, improve supplier and buyer experiences, and increase adoption, revenue, customer value, and operational effectiveness.

Lead and manage a facilities management company overseeing the safety, maintenance, tenant experience, and operational performance of industrial properties and estates. Drive resource optimization, maintenance standards, customer engagement, process improvements, asset planning, sustainability initiatives, technology and AI adoption, and FMC training. Ensure operational excellence, regulatory compliance, productivity improvements, and effective collaboration with tenants and internal teams.

Leads the enterprise applications function, with primary ownership of Oracle E-Business Suite and related business systems. Manages Business Analysts and distributed resources, application support, enhancements, integrations, upgrades, vendors, budgets, and strategic initiatives. Partners with business and IT leaders to prioritize work, improve processes, oversee application projects, ensure governance and compliance, and develop technology roadmaps. Drives modernization, automation, analytics, and continuous improvement across the application portfolio.

Actuarial interns complete projects involving pricing, product development, reserve calculations, actuarial modeling, financial analysis, asset-liability management, and investments. They collaborate with experienced actuaries, attend educational sessions, present project results, and participate in professional development. Candidates must be pursuing a relevant bachelor’s degree, have a 3.0+ GPA, strong Excel, mathematical, analytical, communication, and problem-solving skills, and be authorized to work without sponsorship.

Supports Linux-based software delivery pipelines, development environments, AI engineering initiatives, and security improvement projects. Assists with Linux and Elixir development, vulnerability remediation, security tooling, automation, and software quality practices while collaborating with experienced engineers.

Owns product strategy and roadmap for cloud and platform security products. Leads stakeholder discovery, customer engagement, engineering prioritization, agile delivery, dependency and risk management, and alignment with enterprise strategy. The role requires technical product management experience, cloud delivery expertise, strong communication, cross-functional influence, and the ability to measure product performance. Desired experience includes workload and platform security, Kubernetes, data platforms, developer ecosystems, AI, and regulated industries.

Leads Gartner Consulting engagements and client portfolios for state and local government agencies in Oregon and Washington. Advises executive leaders on technology strategy, digital transformation, cloud, data and AI, cybersecurity, sourcing, and cost optimization. Drives revenue growth, develops strategic relationships, leads consulting engagements, and coaches high-performing teams while delivering measurable business outcomes.

Own multiple enterprise utility software implementations from contract signature through go-live and business as usual. Develop delivery plans, manage scope, dependencies, resources, risks, timelines, and customer responsibilities. Coordinate cross-functional Sales, Data, Product, Engineering, Analytics, and Power Engineering teams. Serve as the primary customer contact, manage executive communications, resolve blockers, and drive value realization. Improve implementation playbooks, processes, tooling, and automation while representing the product and technical stack credibly.

Provide in-house legal support for commercial operations: draft, review, and negotiate technology contracts (SaaS, licensing, vendor, reseller), DPAs/NDAs/BAAs, and info-security terms; advise on privacy, AI, cybersecurity, and regulatory matters; develop templates and playbooks; manage outside counsel; support corporate governance, employment, and vendor matters while partnering with business stakeholders.

Tenure-track Assistant Professor teaching undergraduate and graduate data science, statistics, and mathematics courses; advising students; assessing learning outcomes; maintaining office hours and academic records; conducting an ongoing research program; and contributing departmental, university, community, and professional service. Preferred expertise includes artificial intelligence, machine learning, deep learning, natural language processing, data mining, programming, data management, and interdisciplinary applied research.

Own large enterprise cybersecurity accounts, generate new business, expand adoption, and lead complex AI platform sales from prospecting through deployment and renewal. Engage CISOs, CIOs, CTOs, and cross-functional stakeholders; develop account strategies, build business cases, manage negotiations, navigate security and privacy requirements, forecast consumption revenue, and drive sustained customer usage. Partner with solutions engineering and internal teams to translate AI capabilities into measurable cybersecurity outcomes and inform product strategy.

Leads technical strategy for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Partners with account executives, builds executive relationships and technical champions, presents solution strategies, coordinates virtual teams, supports ML and AI use cases, and mentors other team members. Requires pre-sales experience, enterprise account leadership, cloud and data expertise, and production programming experience.

Leads quality management strategy and continuous improvement across multi-site manufacturing and distribution facilities. Oversees ISO 9001:2015 certification, QMS administration, supplier qualifications, failure analysis, first article inspections, SPC, compliance, and quality metrics. Partners with executives and cross-functional teams to manage risks and communicate ROI. Directs quality engineers, technical writers, and analysts while evaluating AI tools for predictive risk analysis and automated reporting.

Develop Generative AI solutions for financial services using Python, PyTorch, LangChain, AWS, Spark, vector databases, multi-agent systems, and advanced RAG pipelines. Build, fine-tune, evaluate, validate, and deploy machine learning models across large numeric and textual datasets. Collaborate with data scientists, machine learning engineers, and product managers while translating technical findings into business outcomes.

Own the strategy, roadmap, and execution for Claude App Foundations, including core experiences such as memory, voice mode, and artifacts. Translate AI model capabilities into intuitive consumer products, analyze metrics and user feedback, conduct experimentation and research, and prioritize improvements. Partner with design, engineering, data science, research, and marketing while maintaining high standards for product quality, safety, and ethics.

Design and develop scalable software systems and production LLM solutions using RAG, agentic workflows, PEFT, and guardrails. Own architecture, technical execution, SDLC activities, cloud and Databricks governance, DevOps automation, testing, deployment, and system reliability. Collaborate with cross-functional teams, conduct code reviews, translate business requirements, and guide software design. The role is client-facing and follows a hybrid work model with travel as needed.

Design and build maintainable data pipelines, ETL processes, and data architecture standards. Collaborate with product managers, analysts, and machine learning engineers to translate requirements into automated, scalable solutions. Apply software engineering best practices, asynchronous systems, APIs, streaming, testing, monitoring, and Python and SQL expertise. Help prioritize data initiatives based on business impact and communicate complex technical concepts to technical and non-technical stakeholders.

Build and ship software across Aurelian’s AI call-handling, dispatcher tools, analytics, and integrations. Engineers own product outcomes end to end by speaking with customers, identifying problems, defining roadmaps, prioritizing work, and iterating on solutions. The role involves full-stack development, customer visits to 911 dispatch centers, and close ownership of product decisions and delivery.

Leads the architecture, development, and deployment of physics-based modeling and simulation algorithms for e-beam semiconductor inspection systems. Develops SEM image formation, electron-beam interaction, and voltage-contrast technologies; integrates physics-based methods with computer vision and AI; translates physical phenomena into production software; influences technical roadmaps; and mentors junior engineers. Requires a PhD, 8+ years of experience, strong C++/CUDA/Python skills, and semiconductor experience preferred.

Manage B2B technology PR campaigns for cloud, digital infrastructure, data management, and AI clients. Responsibilities include client account coordination, media relations, journalist outreach, press briefings, content development, social media activity, campaign reporting, and team collaboration. The role requires strong writing, presentation, research, communication, delegation, and client-management skills, with the ability to identify news opportunities, meet deadlines, and support business development.

Senior Counsel will support commercial, product, compliance, privacy, corporate, and AI-related legal matters. Responsibilities include drafting and negotiating SaaS and commercial agreements, advising on privacy, security, compliance, and emerging AI regulations, managing legal templates and playbooks, supporting corporate governance and intellectual property, and implementing legal technology and automation tools. The role requires a U.S.-based attorney with substantial in-house SaaS or technology experience and active bar membership.

Develops machine learning, statistical, graph-based, and data-mining algorithms for national security analytics. Builds and validates descriptive, predictive, and prescriptive models; develops LLM and NLP solutions; creates visualizations and experiments; extracts and transforms data; collaborates with subject matter experts; and integrates prototype analytics into production analyst workflows. The role also guides analytic development efforts and requires an active TS/SCI clearance with polygraph.

Leads product vision, roadmap planning, prioritization, and execution for complex healthcare clinical and operational workflows. Translates customer and business needs into product requirements, manages backlogs and releases, analyzes product and operational data, and partners with engineering, design, clinical, implementation, support, sales, and customer success teams. The role also supports launches, issue resolution, AI-enabled product management workflows, and customer feedback activities.

Serve as a technical advisor for strategic industrial accounts across manufacturing, energy, and supply chain sectors. Develop AI solution roadmaps, architect edge deployments, lead technical workshops and proofs of concept, assess feasibility and retrofit strategies, and coordinate solution architects, engineers, product teams, sales, and delivery partners. Translate executive business goals and operational requirements into scalable AI, automation, and infrastructure solutions while driving customer adoption and long-term value.