Top Artificial Intelligence Jobs

Designs and implements data warehousing, analytics, dashboards, semantic layers, and reporting solutions for supply chain planning operations. Collaborates with business, supply chain, and IT stakeholders to define requirements, document workflows, develop user stories, validate data, and improve SAP data accessibility through Databricks. Maintains data definitions and governance, tests data assets, ensures reporting accuracy, and supports self-service analytics. Requires deep supply chain experience, BI development expertise, and strong SQL, Python, and data modeling skills.

Support consulting engagements focused on AI transformation and digital strategy. Responsibilities include leading workstreams, researching markets and technologies, structuring ambiguous business problems, developing operating models and implementation roadmaps, translating technical concepts for executives, collaborating with data and technology teams, facilitating client workshops, presenting recommendations, mentoring junior staff, and strengthening client relationships.

Own strategic enterprise accounts, driving retention, renewals, expansion, quota attainment, and revenue growth. Build account plans, cultivate executive relationships, lead business reviews, negotiate commercial agreements, manage forecasts and pipeline, identify risks and opportunities, and coordinate internal teams to deliver client value. Serve as a strategic advisor and advocate for major clients while sharing account-management best practices and supporting team development.

Develop AI and machine learning analytics products for Ford’s cost efficiency analytics team. Responsibilities include designing and optimizing deep learning and LLM models, deploying models to production, building AI infrastructure and data pipelines, evaluating model performance, and collaborating with data, software, and product teams. The role translates business needs into analytical solutions, supports Google Cloud Platform delivery, and advises business stakeholders on analytics strategy and value.

Associate Consultant supporting K-12 and higher education clients through workplace advisory, change management, data-driven insights, executive facilitation, and sustainable solution design. The role involves managing client relationships and projects, researching education challenges, applying human and artificial intelligence, presenting recommendations, and influencing education leaders. Candidates will receive mentoring while contributing to client work and must work onsite in Omaha Monday through Thursday, with remote work available Fridays.

Associate Consultant supporting senior advisers on workplace consulting engagements. Responsibilities include learning Gallup offerings, uncovering client needs, applying human and artificial intelligence to data insights, managing change initiatives, producing deliverables, building client relationships, and facilitating executive sessions. The role requires on-site work in Omaha Monday through Thursday, with remote Fridays, and begins in June 2027.

Summer 2027 consulting intern supporting client advisory work, workplace solution development, employee engagement projects, survey data analysis, presentations, and actionable recommendations for organizational leaders. The role includes mentorship, collaboration with consulting teams, developmental feedback, and opportunities to apply human and artificial intelligence to data insights. It requires on-site work in Washington, D.C., Monday through Thursday, with optional remote work Fridays.

Associate Consultant supporting government workplace advisory engagements. Responsibilities include building client relationships, analyzing organizational needs and data, developing strengths-based workforce solutions, managing change programs, creating deliverables, and facilitating executive sessions. The role requires strong communication, leadership, project management, critical thinking, and client advisory skills, with on-site work in Washington, D.C., Monday through Thursday.

This internship supports consulting teams serving workplace and organizational clients. Responsibilities include collaborating on client projects, researching and analyzing survey data, developing workplace solutions, designing and presenting an employee engagement project, delivering recommendations to leaders, and incorporating feedback. Interns will build business knowledge, presentation skills, consulting capabilities, and data-driven insight development while working onsite in Omaha four days per week.

Associate Consultant supporting K-12 and higher education clients through workplace advisory, change management, data-driven insights, executive facilitation, and sustainable solution design. The role involves managing client relationships and projects, researching education challenges, building trusted partnerships, and translating human and artificial intelligence insights into actionable recommendations. Candidates will collaborate with senior consultants, contribute to client deliverables, and work primarily onsite in Washington, D.C.

Associate Consultant supporting senior advisers on workplace consulting engagements. Responsibilities include developing client relationships, applying consulting frameworks, analyzing data with human and artificial intelligence, managing change initiatives, creating deliverables, and facilitating executive sessions. The role requires strong communication, critical thinking, leadership, project or client management experience, and a commitment to working onsite in Washington, D.C., Monday through Thursday.

Leads new business development for Accenture’s financial services clients, shaping, negotiating, and closing large professional services deals. Builds executive relationships, develops value propositions, manages sales pursuits, influences client selection processes, and coordinates multidisciplinary deal teams through approval and close. Provides sales-process coaching, supports negotiations, and may supervise bid managers or sales team members. Requires travel up to 100%.

Lead product vision and strategy for complex, high-stakes digital products in client engagements. Serve as the senior product advisor to executives, define operating models and delivery standards, guide discovery and roadmapping, resolve complex product decisions, and establish success metrics. Mentor experienced product managers, influence engineering and design teams, support business development, and improve product management practices. Apply AI tools such as Claude to increase efficiency and strengthen research and product thinking.

Leads the integration and adoption of modeling, simulation, and AI capabilities into clinical trial design workflows. Maps processes, identifies automation opportunities, translates user needs into developer requirements, establishes governance and improved ways of working, trains end users, monitors adoption, and drives continuous improvement across therapeutic areas and Data & Statistical Sciences.

Leads the integration and adoption of modeling, simulation, and AI capabilities into clinical trial design workflows across Data & Statistical Sciences. Maps workflows, identifies automation opportunities, translates business needs into developer requirements, establishes fit-for-purpose processes and governance, trains users, monitors adoption, and drives continuous improvement. Partners with statisticians, data scientists, solution developers, and therapeutic-area stakeholders to improve drug development decision-making.

Leads complex, cross-organizational technical programs that institutionalize AI product development lifecycle practices and scale agentic engineering. Responsibilities include defining AI governance, reference architectures, evaluation frameworks, guardrails, observability, risk controls, and delivery standards. Partners with engineering, product, data, cybersecurity, compliance, audit, and risk teams to improve AI delivery flow, manage dependencies, advise senior leaders, and measure outcomes across multi-quarter transformation programs.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Supports IT, data science, and AI projects in AWS. Assists with troubleshooting hardware, software, and networking issues; system updates; software installation, configuration, and testing; employee technical support; process documentation; and system log maintenance. Collaborates with development and security teams while gaining mentorship and practical experience in IT support and administration.

Design, build, deploy, and manage AI systems and automations that improve customer onboarding, support, engagement, retention, and expansion. Develop predictive customer insights, digital experiences, workflows, and integrations with Salesforce, support systems, and data infrastructure. Translate ambiguous Customer Experience requirements into scalable technical solutions, independently make architecture decisions, monitor production systems, measure adoption and ROI, and continuously optimize based on user feedback and changing business needs.

Own a high-volume technical support queue and serve as the escalation point for complex customer issues. Troubleshoot APIs, integrations, and system behavior; lead customer calls; manage bugs through resolution; and partner with Product and Engineering. Mentor peers, improve documentation and playbooks, identify recurring issues, and recommend product, tooling, and process improvements while maintaining strong customer communication and empathy.

Own the end-to-end go-to-market enablement strategy for account executives, sales engineers, and customer success managers. Build onboarding, role-based learning paths, product-release readiness, competitive and customer-facing materials, and live training. Partner with Product, Engineering, Marketing, RevOps, and Field leadership to translate technical concepts into commercial value. Measure ramp time, certification engagement, and field productivity, while integrating AI into content creation, customer insights, coaching, and field workflows.

Provides legal counsel on export controls, sanctions, anti-corruption, and anti-boycott compliance across SpaceX programs. Advises engineering teams on jurisdiction and classification, manages licenses and authorizations, supports government engagement, leads investigations and audits, and improves global trade compliance policies and procedures.

Advise SpaceX on export controls, sanctions, anti-corruption, and antiboycott compliance across launch, satellite, and AI programs. Develop and improve global trade compliance policies, determine jurisdiction and classifications, manage licenses and authorizations, engage federal regulators, lead investigations and audits, and implement corrective actions. Partner with engineering and business teams as a trusted legal advisor while maintaining compliance with ITAR, EAR, and related regulations.

Lead the startup sales team, develop and execute segment strategy, recruit and mentor technical sellers, manage consumption revenue forecasts, and drive customer acquisition and successful OpenAI deployments. The role includes executive relationship management, complex deal strategy, cross-functional collaboration, startup programs, customer advocacy, market intelligence, and participation in product and corporate strategy.

Evaluates and compares AI-generated responses across English and Korean content, assessing accuracy, relevance, reasoning, safety, tone, cultural appropriateness, and overall usefulness. Applies detailed annotation guidelines consistently, documents evidence-based decisions, maintains productivity across repetitive high-volume tasks, and participates in training, calibration, qualification, and quality-review activities.