Top Artificial Intelligence Jobs

Part-time remote contractor who evaluates and improves AI-generated software engineering content. Responsibilities include prompt authoring, rubric-based model evaluation, technical documentation, fact-checking, data annotation, research, and detailed feedback on AI outputs. The role requires strong software engineering knowledge, technical writing, analytical reasoning, and attention to detail. Three or more years of professional software engineering experience is preferred, along with experience reviewing technical artifacts such as architecture documents, RFCs, design specifications, or code reviews.

Leads first-party card fraud strategy by analyzing fraud trends, customer friction, and internal and external data. Develops and implements detection strategies, operational controls, and performance monitoring to balance fraud losses, costs, revenue, and customer experience. Partners with product, technology, and operations teams on requirements, testing, and capability development. Communicates with senior stakeholders, tracks industry practices, manages priorities, and mentors analytical team members.

Lead financial planning and decision support for cloud and datacenter engineering investments. Partner with engineering, talent acquisition, procurement, and finance stakeholders on FTE and vendor resource planning, forecasting, budgeting, workforce strategy, capacity investments, resource allocation, and financial analysis. Provide scenario modeling, business insights, trade-off recommendations, and executive-level reporting to support strategic engineering priorities and optimize resource deployment.

Supports customer success planning, stakeholder relationships, delivery coordination, risk tracking, cloud and AI adoption, and account reviews for Microsoft customers. The role helps connect customer priorities with Azure and Microsoft solutions, improve solution health, coordinate resources, escalate issues, and drive measurable business value. It includes structured onboarding, mentoring, and progressive responsibility through Microsoft’s Early-in-Profession program.

Own the technical direction and long-term architecture of Copilot Discover’s AI-driven content, ranking, personalization, and discovery platforms. Design scalable systems for ingesting, enriching, ranking, personalizing, and serving content across multiple surfaces. Establish architecture, reliability, testing, monitoring, and operational standards while influencing teams across Microsoft. Partner with product, design, data science, privacy, trust, and engineering leaders to deliver secure, scalable, cost-efficient, and personalized experiences.

Provides early-career legal support by drafting and reviewing agreements, conducting legal research and due diligence, assisting with litigation, investigations, regulatory filings, and compliance activities. Partners with business teams on routine legal matters, maintains legal records, escalates complex risks, and supports improvements to templates, playbooks, and legal processes under senior attorney guidance.

Leads organizational change management for university AI and automation initiatives. Develops adoption strategies, AI literacy resources, communications, training, workshops, and stakeholder engagement programs. Measures adoption through usage, participation, and support metrics, gathers feedback, and recommends improvements. Partners with IT leadership, project teams, PMO, ITSM, governance groups, faculty, staff, and students to promote responsible AI adoption aligned with privacy, security, and institutional standards.

Leads customer success for strategic electric utility accounts, overseeing enterprise software deployments from pilots through long-term adoption and value realization. Manages a team of Customer Value Architects and Forward Deployed Engineers, advises utility executives, establishes ROI and governance frameworks, oversees technical workstreams, and partners with Sales, Product, and Engineering on implementation, risk mitigation, roadmap feedback, and expansion opportunities.

Leads operational excellence for CHANEL’s Client Care organization by establishing governance, workforce planning, performance management, analytics, vendor oversight, and scalable operating capabilities. Owns the Client Care technology roadmap as business product owner, translating operational needs into requirements and driving delivery, adoption, AI automation, continuous improvement, and measurable business outcomes across cross-functional teams.

Leads and scales a customer-embedded Forward Deployed Solutions Engineering organization focused on AI, cloud architectures, enterprise data platforms, and mission-critical systems. Builds and mentors technical teams, partners with C-level customers and Cisco/Splunk leadership, translates deployment insights into product innovation, and delivers prototypes and technical solutions that accelerate adoption, retention, and expansion.

Leads strategy, lifecycle management, and optimization of consumer-facing digital products. Translates consumer insights and business needs into product roadmaps, prioritizes backlogs, drives experimentation, and partners with marketing, data, engineering, and technology teams. Uses analytics and AI to improve personalization, engagement, growth, and operational efficiency while ensuring scalable integrations and measurable business outcomes.

Designs and implements AI solution architectures and strategies addressing client business needs and ethical considerations. Develops innovative solutions using AI, machine learning, deep learning, computer vision, NLP, and agentic AI. Leads technology assessments, evaluates alternatives, develops requirements, conducts independent research, translates complex technical topics for broad audiences, and mentors team members. Requires Python programming, modern software design knowledge, a STEM degree, and Secret clearance eligibility.

Leads global product compliance and sustainability across electronic, non-electronic, and software products throughout the product lifecycle. Establishes governance, regulatory frameworks, certification processes, compliance data systems, supplier requirements, training, and audit readiness. Oversees software, cybersecurity, privacy, AI, and data compliance while coordinating cross-functional teams across R&D, engineering, quality, operations, legal, supply chain, and sustainability. Advises executives, interfaces with regulators and certification bodies, and manages global compliance strategy in a matrix organization.

Develop and optimize semiconductor packaging processes, automation, equipment, and data systems for quality, reliability, cost, and manufacturability. Conduct root cause analyses and failure investigations using FMEA, 8D, SPC, and FDC. Collaborate with equipment, process development, and integration teams, support pilot-line operations, and transfer technologies to high-volume manufacturing sites.

Guides systems architecture, requirements engineering, integration, and technical planning for GEOINT reporting and workflow orchestration systems. Translates mission needs into capabilities, coordinates government and DevOps teams using Agile methods, allocates requirements, manages risks, and supports performance engineering and interface design. Integrates systems across agencies, mentors engineers, and conducts alternatives analyses, trade studies, and engineering assessments in complex cloud and service-oriented environments.

The Chief People Officer will lead the full employee experience across a growing, multi-state K-12 school network. Responsibilities include people strategy, talent acquisition and development, HR operations and payroll, employee relations, compensation, performance management, workforce planning, systems modernization, and organizational culture. The role leads five functional leaders, advises the executive team, supports regional schools, and builds scalable talent pipelines aligned with the organization’s 2030 growth goals.

The Chief People Officer will lead the organization-wide people strategy across talent acquisition, development, HR operations, payroll, employee relations, compensation, and performance management. Reporting to the Co-President, this executive will manage five functional leaders, modernize HR systems, strengthen workforce planning, build talent pipelines, establish equitable compensation practices, and embed organizational values across the employee lifecycle. The role requires regular travel among New Jersey and South Florida locations.

Leads Manhattan Associates’ global creative vision across brand, campaigns, digital, video, events, presentations, and experiential experiences. Manages and develops a multidisciplinary creative team, directs agencies and production partners, establishes scalable creative processes, oversees budgets and production decisions, and ensures consistent, high-quality brand expression. Translates complex technology and business ideas into compelling creative while improving operational efficiency, asset governance, collaboration, and commercial impact.

Own the full sales cycle for SAP Concur solutions within the SMB and mid-market segments. Build self-generated pipelines, align cloud solutions with customer goals, develop business cases, and drive bookings, renewals, and expansions. The role involves partnering with account owners and ecosystem partners, communicating solution value to decision-makers, orchestrating sales motions, and supporting long-term customer adoption and revenue growth.

Leads end-to-end solution architecture for complex enterprise initiatives across business processes, applications, data, integrations, cloud, security, and operations. Advises cross-functional stakeholders, establishes architecture standards and governance, evaluates risks and technology options, shapes roadmaps, and guides implementation. The role focuses on Corporate Functions and Order-to-Cash, with expertise in SAP S/4, SAP MDG, automation, enterprise integration, and regulated operational environments. It also mentors architects and delivery teams while ensuring solutions align with business strategy and measurable outcomes.

Manages a large Joint Staff CDAO project supporting government leadership and AI/data initiatives. Responsibilities include planning, budgets, schedules, risks, staffing, subcontractors, deliverables, stakeholder communications, executive briefings, governance, and mission growth. Coordinates data scientists, engineers, analysts, and cybersecurity professionals while ensuring contractual, financial, and performance objectives are met. The role also supports business development, proposals, capture activities, and transition of new work. It requires onsite work at the Pentagon five days per week and an active Top Secret/SCI clearance.

Leads finance operations and governance for Technology Solutions, including AI spending oversight, budgeting, forecasting, cost allocation, chargebacks, contract and vendor administration, financial reporting, and investment analysis. Drives automation, process improvement, consumption-based technology cost management, and executive decision support. Partners with technology leaders, vendors, and business stakeholders to modernize finance processes, improve transparency, manage risk, and optimize technology and AI investments.

Administer, secure, configure, and maintain agency application systems throughout their lifecycle. Support ATO/ATT documentation, continuous monitoring, security impact assessments, vendor risk evaluations, logging compliance, vulnerability remediation, and change management. Develop and integrate ML and AI tools into security systems while supporting ISSOs and maintaining application operations and security procedures.

Assistant Professor of Industrial Engineering focused on Operations Research and Optimization. Responsibilities include establishing an externally funded research program, publishing scholarly work, teaching undergraduate and graduate courses, developing curriculum, mentoring students, collaborating with academic and industry partners, and contributing university and professional service. Preferred expertise includes optimization, stochastic modeling, simulation, AI-enabled optimization, supply chains, logistics, scheduling, risk analysis, and resilient systems.

Build and productionize agentic AI and machine learning platforms for employer market-access use cases. Responsibilities include multi-agent orchestration, data and ML pipelines, model serving, deployment, observability, evaluation, governance, partner integrations, and secure handling of healthcare data. The role partners with data scientists, product leaders, and business teams to create reusable, scalable infrastructure and reliable AI applications in a regulated environment.