Top Artificial Intelligence Jobs

Develop and advance engineering data and intelligence strategy, governance frameworks, roadmaps, taxonomies, ontologies, and semantic standards. Partner with engineering, manufacturing, procurement, product, service, and IT teams to improve data quality, accessibility, reuse, and adoption. Translate business priorities into analytics, data science, and AI initiatives; guide stewardship operating models; address integration challenges; measure business value; and lead organizational change across a complex matrixed environment.

Sources and qualifies new business opportunities across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services deals. The role targets mid-market and enterprise clients, requires independent business development in services-led environments, and includes approximately 30% travel for conferences, industry events, and client meetings.

Business Development Manager responsible for expanding the AI consulting business across North America. The role focuses on prospecting, qualifying leads, building pipelines, conducting discovery conversations, negotiating with clients, and closing consulting and technology-services opportunities. The successful candidate will independently generate business across multiple verticals, collaborate with leadership, attend industry events and client meetings, and travel approximately 40% of the time.

Leads Lilly’s enterprise heritage and archives transformation, including strategy, governance, operating model, preservation, digitization, exhibits, tours, storytelling, budgets, vendors, and stakeholder alignment. Oversees Heritage Hall, the Replica Building, Lab Line Life, and related programming. Manages a small specialized team, develops archival capabilities, measures business impact, and partners across Communications, Facilities, Legal, Research, Manufacturing, and external agencies to activate historical assets for employees, executives, researchers, visitors, and other stakeholders.

Develops, integrates, tests, and prototypes software for subsea robotics, material-handling automation, and people-mover applications. The role works across the robotics software stack, tests algorithms and prototypes, creates software test plans, documents results, and collaborates with system, product, project, and customer teams. It requires C++ or Python, software-module integration, electrical and electronic circuit experience, and eligibility to access ITAR-controlled data. Travel may be required up to 10%.

Own full-cycle recruiting for GTM and technical roles, from intake and sourcing through interviews, offers, and closing. Partner with hiring managers, build proactive pipelines, deliver high-touch candidate experiences, track recruiting funnel metrics, and maintain Ashby as the ATS source of truth. The role also involves sharing market insights, experimenting with AI recruiting tools, and operating autonomously in a fast-paced B2B SaaS or AI startup environment.

Supports technology initiatives, product releases, implementations, and strategic projects from planning through delivery. Gathers requirements, analyzes workflows and operational data, contributes to solution design, develops financial models and dashboards, prepares documentation, and coordinates milestones, risks, and dependencies. The role provides cross-functional exposure to technology, business operations, finance, product delivery, and commercial real estate while building foundational analytical and technical skills.

Own product marketing strategy for an 18-week engagement, including positioning, messaging, end-to-end go-to-market, launch, adoption, lifecycle communications, sales enablement, customer research, measurement, and ROI. Influence product roadmaps and senior stakeholders, develop cross-product narratives, introduce new approaches, use AI tools, and mentor other product marketers while adapting scope to evolving business priorities.

Leads Baxter’s global strategy for quality excellence, regulatory resilience, enterprise risk, operational quality, analytics, technology, and responsible AI. The role drives quality transformation across manufacturing, supply networks, product platforms, and global quality systems; anticipates FDA and health authority expectations; guides investment and risk decisions; and develops global leadership capabilities. Success requires executive-level leadership, deep operational quality and regulatory experience, transformation expertise, and the ability to influence enterprise and Board-level decisions.

Conducts applied research in machine intelligence and machine learning, analyzing algorithm performance on large-scale datasets and designing experiments for optimization. Builds scalable AI prototypes, prepares and evaluates data, develops modeling datasets, and supports feature ideation and machine learning adaptation. Collaborates with research and product teams to apply AI, LLMs, SLMs, and agent technologies to improve product quality and user experiences.

Develop and maintain AI-related cloud capacity demand plans, balancing supply and demand constraints across hardware, engineering, and deployment readiness. Build metrics and dashboards, identify execution risks, lead prerequisite validation, and drive cross-functional transformation and technical projects. Collaborate with software and hardware engineering teams, manage large-scale program readiness efforts, and establish KPIs and OKRs for demand planning execution.

Leads the creation and operation of Rio Tinto’s global second-line ethics and compliance assurance capability. Responsibilities include designing assurance frameworks, monitoring controls and risks, establishing governance, producing executive and Board-level reporting, leading a multidisciplinary global team, and overseeing compliance data, reporting systems, analytics, learning, and communications. The role partners with risk, internal audit, technology, and senior governance stakeholders to drive continuous improvement and informed decision-making.

Lead customer AI and cloud transformation by translating business priorities into secure, scalable solutions. Drive technical engagements, cloud adoption, consumption growth, modernization, and measurable business outcomes. Design and validate architectures, facilitate technical discussions, coordinate Microsoft, partner, and customer teams, remove implementation blockers, and maintain CRM data, forecasts, and customer insights.

Leads application security architecture through secure design reviews, threat modeling, vulnerability remediation, and secure reference architecture development. Advises development teams on secure coding, encryption, identity and access management, cloud security, and DevSecOps. Supports incident response and collaborates with infrastructure, compliance, and DevOps teams. The role also focuses on AI-enabled application security and enterprise AI security, including generative AI, AI agents, and MCP integrations.

Leads strategic insights and analytics for Johnson & Johnson’s Oncology Hematology business. Advises senior leaders on market research, competitive intelligence, forecasting, brand strategy, commercial performance, sales optimization, payer/provider analytics, ROI, and AI-enabled transformation. Oversees analytics operations, reporting, data management, and resource prioritization while translating insights into growth strategies. Builds organizational capabilities, recruits and develops talent, and drives cross-functional collaboration and business results.

Develops data science solutions for aerospace mission challenges by analyzing complex structured and unstructured datasets, building predictive analytics, applying machine learning, optimizing algorithms, automating processes, and creating scripts. Works with customers and cross-functional teams to translate data into actionable insights for military leadership. Requires programming, statistics, machine learning knowledge, a bachelor's degree, and Secret clearance.

Supports R&D operations by maintaining workflows, project systems, BI dashboards, reporting infrastructure, and data integrity. The role performs operational and accounting reporting, configures Wrike projects, develops documentation and SOPs, assists with training, and identifies process improvements. It also contributes to backend programming, database administration, automation, interactive applications, and AI-assisted workflows while collaborating across Engineering, Design, Operations, and Accounting teams.

Supports regional implementation of global site budgets and payments operational-excellence strategies in pharmaceutical clinical research. Translates global process and system changes into regional execution, coordinates issue resolution, gathers requirements, supports testing and implementation, analyzes operational trends, leads enablement, and represents the region in governance and vendor discussions. Partners with clinical operations, finance, IT, compliance, and vendors to improve compliant, scalable processes and systems.

Owns strategy, roadmaps, backlogs, and end-to-end delivery for business automation and AI products. Partners with engineering and executives to define requirements, launch reliable features, evaluate build-versus-buy decisions, manage budgets and cloud/API costs, measure ROI, and maintain product performance. Requires strong technical, agile delivery, analytics, and healthcare privacy expertise, with potential progression into product management leadership.

Tenure-track Assistant Professor researching and teaching at the intersection of artificial intelligence and public policy. Responsibilities include developing an externally funded research program, teaching undergraduate and graduate courses in AI, data literacy, computational methods, and technology policy, contributing to interdisciplinary AIM initiatives, and collaborating across the university on AI governance, regulation, security, economic, social, and environmental policy issues.

The professor will teach and expand game design, digital media, and STEAM programs; develop courses; conduct nationally recognized research on games and education; secure external funding; advise students; participate in governance; and collaborate across disciplines. The role emphasizes equity, underserved populations, interdisciplinary scholarship, and contributions to the games and education field through teaching, research, outreach, and professional engagement.

Leads enterprise data analytics, business intelligence, reporting, governance, and performance management initiatives. Develops data strategies, integrates information from enterprise systems, builds executive dashboards and KPI reporting, performs forecasting and trend analysis, and identifies automation and AI opportunities. Provides strategic insights for leadership decisions and manages data management and reporting teams in DHS or DoD environments.

Conduct research advancing assurance methods for embodied AI systems, including robots, drones, and autonomous vehicles. Develop prototypes to evaluate safety and reliability methods, define research directions, collaborate with universities, publish scientific findings, and present work at conferences. The role requires machine learning model development, digital tool implementation, and clear communication of complex concepts.

Leads Account Executive and Strategic Account Executive teams serving complex employer PBM clients. Owns portfolio revenue growth, retention, profitability, renewals, expansions, client relationships, and escalations. Provides financial and analytical insight using drug trend, pricing, guarantees, and AI-enabled modeling. Partners cross-functionally with finance, underwriting, clinical, product, operations, and analytics teams while overseeing RFPs and renewals. Requires executive presence, strategic account leadership, healthcare or PBM expertise, and up to 40% travel.

Two-year development program for recent graduates working on AI, automation, data analytics, and digital transformation initiatives. Responsibilities include developing intelligent agents and workflow automations, translating business needs into requirements and user stories, analyzing performance data, testing and deploying AI solutions, documenting processes, supporting adoption, and evaluating emerging technologies. The role collaborates across technology, product, business, operations, and IT teams in a regulated commercial real estate environment.