Top Artificial Intelligence Jobs

Own the full enterprise sales cycle, from self-sourced pipeline generation through closing complex six- and seven-figure deals. Build and expand strategic customer relationships, sell AI-powered automation to enterprise leaders, develop the sales playbook with the CRO and founders, and help establish the company’s sales team, culture, and go-to-market strategy.

Tenure-track Assistant Professor of Computer Science responsible for undergraduate and graduate teaching, curriculum development, student advising and mentoring, scholarly research, external funding efforts, and university and community service. The role also supports assessment, accreditation, and continuous program improvement. Candidates may specialize in artificial intelligence, data science, cybersecurity, software engineering, cloud computing, systems, databases, or related areas.

Lead strategy, roadmap, and lifecycle development for enterprise biopharma platforms supporting translational research and clinical development. Define requirements, prioritize backlogs, measure adoption and reliability, ensure GxP and data privacy compliance, and align platform investments with clinical and scientific priorities. Partner with engineering, clinical, regulatory, quality, data governance, and biopharma stakeholders while mentoring product teams and promoting scalable, interoperable architectures.

Supports the Wholesale Banking CISO by translating cybersecurity strategy into execution across AI security, privileged access, ransomware resilience, cyber recovery, and security governance. Coordinates cross-functional security projects, tracks risks and remediation, prepares executive updates, conducts AI and cyber risk assessments, supports audits and regulatory reviews, and helps strengthen security architecture, resilience testing, and operational controls.

Leads cross-functional AI programs from opportunity identification through deployment, monitoring, and continuous improvement. Oversees AI/ML solution delivery, data preparation, validation, governance, risk management, and responsible AI practices. Manages and mentors POD team members, aligns business and technology stakeholders, translates technical concepts for leadership, and drives adoption of scalable AI applications that improve operational efficiency.

Leads commercial analytics and strategy for Advanced Wound Management, advising executives and managing performance frameworks, forecasting, incentive compensation, sales force deployment, investment evaluation, and AI-enabled insights. Partners across commercial functions to translate strategy into field execution, establishes data governance and KPI standards, and develops a high-performing analytics team.

Leads the business side of large Finance, Operations, and technology transformations. Owns future-state operating models, end-to-end process design, human-centered design, organizational change, adoption, product backlogs, benefits realization, executive alignment, commercial planning, and team development. Partners with technical delivery leaders while ensuring ERP, cloud, data, AI, and automation investments produce measurable business change and value.

Own FP&A operating models, scenario analysis, budgeting, forecasting, KPI dashboards, executive and board reporting, and variance analysis. Partner with BI and data engineering teams to automate recurring financial analysis into scalable systems. Serve as a strategic finance partner to cross-functional leaders, improve forecast accuracy, and use AI tools to accelerate finance workflows.

Supports budgeting, forecasting, finance consolidations, executive presentation materials, and process automation initiatives. Works with finance and accounting teams while gaining experience with financial systems, analytics tools, and AI-enabled process improvements. The intern must be enrolled in an accounting or finance degree program, maintain a 3.0 GPA, work 20–30 hours weekly in a hybrid format, and live within driving distance of Auburn Hills, Michigan.

Supports IT innovation initiatives involving AI, digital enablement, and business process improvement. Assists with documenting use cases, translating business needs into requirements, preparing project communications, tracking timelines and action items, supporting meetings, and creating executive-ready materials. Collaborates with cross-functional teams while applying responsible technology, confidentiality, and data protection practices.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Leads enterprise AI strategy, governance, prioritization, implementation oversight, adoption, risk management, and value realization. Oversees portfolios across clinical, operational, financial, workforce, and customer experience domains while coordinating technology, privacy, security, compliance, legal, finance, vendor, and executive stakeholders. Establishes responsible AI processes, tracks outcomes, supports change management and AI literacy, evaluates vendors and platforms, and advises leadership on emerging opportunities and risks.

Leads a team of approximately six robotic sales engineers, coaching performance, assigning technical resources, and supporting quota attainment. Oversees opportunity qualification, requirements workshops, feasibility reviews, customer handoffs, and strategic deal execution. Partners with Sales, Solutions Development, and Product to improve processes, tools, KPIs, and customer outcomes. Acts as a hands-on technical escalation point for complex opportunities and travels approximately 30% of the time.

Drive new-logo enterprise sales for NayaOne’s SaaS platform among major U.S. insurance carriers. Responsibilities include prospecting, executive relationship development, solution selling, negotiation, forecasting, CRM management, account-based campaigns, and navigating complex procurement, legal, security, and risk reviews. The role owns the full sales cycle, maintains pipeline coverage, partners with product and solutions teams, attends industry events, and meets substantial annual sales quotas. Remote work requires 30–35% travel.

Graduate interns support pharmaceutical research and development through data preparation, visualization, statistical modeling, reproducible analytics, report writing, software development, simulations, experimental design, and statistical methodology. Interns work with statisticians and computing scientists across drug discovery, clinical studies, and manufacturing while completing mentored projects and participating in professional-development activities.

Internship program for quantitative master’s students supporting institutional wealth sales and relationship management. Responsibilities include understanding financial markets, communicating investment solutions, developing marketing strategies, cultivating distributor relationships, synthesizing data, coordinating stakeholders, and supporting technology-enabled decision-making. Interns gain exposure to investment trends, client insights, firm offerings, campaigns, and professional development opportunities.

The Chief Schools Officer leads instructional quality and scholar outcomes across 22 schools. Responsibilities include supervising superintendents, principals, and educators; overseeing curriculum, assessment, student services, leadership development, compliance, enrollment, and resource allocation; and driving enterprise strategy. The role reports to the CEO, serves on the executive team, represents the organization with boards and communities, and ensures schools meet academic, regulatory, and charter authorizer expectations.

Underwrite AI agent risks for regulated customers, evaluating technical and operational exposure, setting appetite, limits, retentions, and pricing. Build underwriting frameworks, develop policy wordings and programs with carriers and reinsurers, collaborate with Engineering on risk measurement, and incorporate claims and incidents into future underwriting decisions.

Leads claims-focused insights, analytics, business intelligence, and AI initiatives for an insurance organization. Partners with Claims, Reserving, Actuarial, Finance, Underwriting, and Transformation teams to translate business priorities into data products, dashboards, predictive insights, automation, and AI capabilities. Manages and develops an analytics team, ensures measurable business value, promotes responsible AI adoption, and maintains data, AI, and information governance standards.

Participate in BlackRock’s quantitative master’s internship program within Global Capital Markets and Index Investments. Support investment and product strategy, market analysis, quantitative modeling, analytical tool development, and technology-enabled decision-making. Candidates will apply advanced analytics, problem-solving, coding, and financial or mathematical expertise while collaborating in a fast-paced investment environment.

Participate in BlackRock’s quantitative investing internship across quantitative research, portfolio management, product strategy, and investment technology. Apply statistical models, machine learning, Python programming, and large-scale data analysis to investment strategies across asset classes. Learn about capital markets, portfolio trading, economic theory, client objectives, and investment product development while collaborating with research, technology, strategy, and investment professionals.

Participate in quantitative investing projects across research, portfolio management, product strategy, and investment technology. Build and translate statistical models and algorithms into efficient Python code, analyze large datasets, and support systematic equity and fixed-income strategies. Gain exposure to capital markets, portfolio trading, economic theory, client investment goals, and investment product development while collaborating across research, technology, strategy, and client teams.

Leads a cross-functional team developing behavior evaluation, human benchmarking, and behavioral inference capabilities for autonomous vehicles. Designs and deploys production ML models, establishes technical roadmaps, and integrates behavior critics into simulation-based validation, release decisions, and performance monitoring. Partners with autonomy, simulation, safety, and product teams to assess driving behavior against human expectations for safety, comfort, and intuitiveness.

Participates in a two-year graduate leadership program focused on marketing strategy, analytics, research, and cross-functional initiatives. Helps improve TD’s visibility across AI and large-language-model platforms, manages content strategy, optimizes owned digital properties for customer and LLM accessibility, and develops mid-funnel strategies across websites and influential platforms. Conducts research, reporting, process improvements, stakeholder presentations, and strategic recommendations while supporting risk, governance, and business objectives.

Own internal AI and automation products that make Engine’s business functions faster and more scalable. Map workflows, identify high-value repetitive workloads, establish baseline metrics, partner with engineering to build and launch solutions, and drive adoption. The role requires evaluating LLMs and agents, incorporating human review, controlling scope and costs, measuring cycle-time improvements, and transitioning successful workflows to functional owners.