Top Artificial Intelligence Jobs

Leads and develops a frontline customer support team serving veterinary clinics and pet parents. Responsibilities include coaching, onboarding, quality management, daily support operations, escalation handling, workflow optimization, AI and automation adoption, support analytics, customer insight analysis, and cross-functional partnership with Product and CX. The manager also engages directly with customers and drives improvements to CSAT, first-contact resolution, and response times.

Design and launch AI-native products for small businesses in health, beauty, and wellness. Partner with customers, Product, and Engineering to identify needs, shape product strategy, create end-to-end experiences, prototype with AI tools, and ship scalable workflows. The role owns design from early concepts through launch and iteration while establishing cohesive interaction patterns, reusable systems, and trust-centered experiences for probabilistic AI outputs.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Performs daily municipal bond valuations, market data analysis, quality control, client communication, security and portfolio analysis, statistical model development, and valuation process improvement. The role researches market and product opportunities, maintains pricing methodologies and infrastructure, monitors data quality, and explains valuation nuances to clients and internal stakeholders. It combines fixed-income finance expertise with quantitative modeling, data science, and technology skills.

Leads technology risk and controls for infrastructure platforms by identifying, assessing, reporting, and mitigating operational and compliance risks. Evaluates control effectiveness, manages governance and issue remediation, advises technology process owners, and communicates risk posture to senior stakeholders and regulators. Uses validated enterprise AI capabilities to streamline risk evidence synthesis, control testing, and executive reporting while maintaining security, auditability, and regulatory compliance.

Provides technical vision and architecture for AI-native and cloud-native systems. Leads development of scalable AI platforms, evaluation frameworks, monitoring, security guardrails, retrieval pipelines, and distributed systems. Drives architectural standards, strategic roadmaps, customer-critical initiatives, technical hiring, mentorship, incident resolution, and cross-functional influence. Requires deep expertise in LLM systems, cloud platforms, ServiceNow, Kubernetes, vector databases, responsible AI, and large-scale software engineering.

Leads enterprise real-world data strategy at Bristol Myers Squibb, translating R&D and business priorities into data investment, acquisition, evaluation, and evidence-generation strategies. Serves as the team’s AI innovation lead, identifying applications for generative AI, machine learning, and advanced analytics. Evaluates datasets, vendors, partnerships, and emerging technologies; develops executive-ready business cases; and drives cross-functional alignment across strategy, data, governance, customer success, and R&D teams.

Owns brand remittances end to end, including extracting and validating sales, payment, and expense data, reconciling variances, preparing remittance packages, and addressing partner questions. The role identifies process issues, improves controls and reporting, and leads data and automation initiatives with Development and Engineering. It requires strong financial operations or accounting experience, advanced Excel and AI-enabled analysis skills, and the ability to work independently across distributed teams.

Lead a remote team of Solutions Engineers supporting commercial and growth sales across the Americas. Responsibilities include coaching and developing talent, aligning technical presales priorities with sales strategy, improving forecasting and pipeline execution, establishing operating rhythms, using business metrics to improve outcomes, building scalable programs, adopting AI, partnering cross-functionally, and leading organizational change.

Leads data scientists, machine learning engineers, and technical professionals delivering analytics, AI, and machine learning projects. Responsibilities include team development, technical solution design, model deployment, coding and governance standards, project quality, stakeholder collaboration, proposal support, emerging technology evaluation, and strategic planning. The role requires advanced Python and data science expertise, cloud AI platform experience, and at least eight years of relevant experience, including three years managing technical teams.

Own the integrated financial model, including three-statement projections, scenarios, and long-range planning. Lead strategic analyses for capital allocation, headcount, build-versus-buy decisions, partnerships, pricing, and infrastructure investments. Develop operating models, unit economics, retention and capacity metrics, dashboards, and KPI infrastructure. Support investor relations, financing strategy, and executive or board materials while partnering closely with finance and functional leadership.

Leads the architecture, development, integration, testing, deployment, and operation of complex AI, automation, and agentic solutions. Establishes reusable engineering patterns for RAG, AI agents, APIs, RPA, and human-in-the-loop systems. Drives enterprise integrations, governance, security, observability, CI/CD, production readiness, and operational support. Evaluates emerging technologies, provides architectural recommendations, coordinates cross-functional delivery, resolves complex technical issues, and mentors engineering teams.

Tenure-track Assistant Professor teaching undergraduate and graduate Management Information Systems and Business Analytics courses while conducting and publishing high-quality scholarly research. The role involves developing courses in areas such as artificial intelligence, business intelligence, data analytics, databases, and predictive modeling; engaging with the business community; and contributing to student-centered academic programs and curriculum innovation.

Own Federal Civilian agency accounts across DOE, DOJ, VA, and Commerce. Drive new business and expansion, manage full sales cycles, build executive relationships, develop budget-aligned account plans, and work with systems integrators and partners. Sell Kong’s API and AI Gateway solutions to support digital services, data sharing, Zero Trust, cloud adoption, and AI modernization. Maintain Salesforce pipeline discipline, forecasting, and represent Kong at agency and industry events.

Build and maintain scalable data pipelines and platforms that integrate structured and unstructured data from APIs and databases. Apply statistical analysis, data modeling, forecasting, optimization, and data visualization to support mission-driven client solutions. Collaborate with analysts, engineers, developers, and stakeholders in an agile environment, independently examining data and communicating findings. The role requires Python, R, SQL, Tableau, Power BI, a bachelor’s degree, TS/SCI clearance, and up to 20% travel.

Own production deployment solutions for robotic AI systems after customer purchase orders. Translate customer requirements into workflows and work-cell designs, conduct feasibility analysis, integrate robots with sensors, conveyors, PLCs, MES, and other plant systems, and lead FAT, commissioning, and SAT. Define requirements, author operating procedures, measure system performance, support customer-site deployment, and provide production feedback to product and engineering teams.

Leads Blue Yonder’s enterprise AI marketing strategy, including positioning, messaging, value propositions, go-to-market initiatives, executive storytelling, analyst engagement, sales enablement, competitive intelligence, responsible AI communications, and impact measurement. Partners with product, engineering, data science, sales, customer success, legal, security, and corporate communications teams to commercialize predictive, generative, and agentic AI capabilities for supply chain and commerce markets.

Provides privacy legal counsel to engineering and product teams developing global AI-powered communications and contact center products. Leads privacy and data protection impact assessments, advises on global privacy, AI, security, and HIPAA requirements, supports incident response and processing records, maintains customer-facing trust materials, and monitors legal developments. Requires collaboration across privacy, product, engineering, information security, and regulatory teams.

Leads strategic partnerships, market expansion, positioning, demand generation, and corporate development for Qsight. Responsibilities include sourcing and closing commercial partnerships, evaluating new markets and customer segments, building market and competitive models, developing go-to-market strategies, shaping brand positioning, and preparing board- and investor-grade analysis. The role partners directly with executive leadership and may eventually build a team.

Manage AI safety and regulatory programs from risk assessment through safeguard deployment. Responsibilities include incident response, post-incident reviews, safety controls, technical documentation, transparency reports, regulatory submissions, and coordination with Legal, research, engineering, and other cross-functional teams. The role translates emerging AI regulations into operational processes and ensures safeguards function effectively for high-risk AI applications.

Leads IJM’s global internal communications capability, including strategy, governance, communication channels, change communications, employee feedback, measurement, and technology evaluation. Advises executives, builds communication standards and operating models, strengthens organizational adoption and alignment, and develops internal communications staff and partners across a global matrixed organization.

Leads global technology recruiting for GTS, managing a distributed recruiting team and executive-level searches. Advises technology leaders, builds recruiter capability, develops sourcing and market strategies, and ensures consistent hiring execution. The role requires strong technical recruiting fluency across engineering, cloud, data, AI, cybersecurity, and enterprise platforms, along with expertise in recruiting metrics, stakeholder influence, candidate assessment, and talent advisory.

The Research and Instruction Librarian designs and delivers information-literacy instruction, provides research support, liaises with academic departments, develops library collections, and supports student success initiatives. The role coordinates peer mentor activities, supervises student workers, analyzes assessment data, contributes to policies and services, collaborates with faculty and campus partners, and supports inclusive, scalable learning programs across university campuses.

Develops and deploys computer vision, imaging, measurement, software, and automation systems for R&D, manufacturing, quality, and commercialization. Designs imaging solutions, defect detection methods, inspection systems, dashboards, and data applications; applies machine learning and AI to imaging data; and leads projects from concept through deployment. Collaborates with multidisciplinary teams, establishes technical standards, evaluates emerging technologies, and builds organizational capabilities. Requires 7+ years of relevant experience and travel up to 20%.

Leads the high school’s daily operations, instructional program, curriculum development, faculty and staff supervision, student experience, and departmental coordination. Partners with the President and leadership team on school policies, vision, Catholic mission, strategic change, faculty recruitment and retention, academic excellence, student well-being, and responsible technology use. The role requires strong relational, communication, administrative, and academic leadership in a Catholic private-school environment.