Top Artificial Intelligence Jobs

Lead public-sector client implementations of Socure’s AI-powered identity verification and fraud prevention platform. Responsibilities include solution architecture, platform configuration, automated decisioning workflows, API and data integration troubleshooting, client training, documentation, and cross-functional collaboration. The role translates client goals into optimized configurations, supports scalable deployments, and identifies opportunities to improve automation, performance, and measurable business outcomes.

Serve as a strategic HR business partner to the Technology organization, advising senior leaders and driving initiatives across talent assessment, succession planning, retention, compensation, leadership development, performance management, and organizational effectiveness. Analyze workforce trends, facilitate development programs, improve employee experiences, and apply AI responsibly to HR workflows. The role requires strategic influence, hands-on execution, sound judgment in sensitive matters, and collaboration across a complex organization.

Leads development, integration, deployment, and support of enterprise applications, databases, reporting solutions, workflow automation, and AI-enabled technologies for the university’s research and innovation division. Responsibilities include Microsoft SQL Server administration, system integrations, data pipelines, troubleshooting, application security, modernization, dashboard development, and technical architecture. The role collaborates with stakeholders to translate business requirements into secure, reliable, data-driven solutions and provides technical leadership for emerging AI initiatives.

Coordinates DataKind’s education portfolio, managing project timelines, milestones, deliverables, dependencies, budgets, grants, and funder reporting. Facilitates collaboration across research, product, data science, and partner-facing teams, while managing institutional partner and funder relationships. Contributes to applied research, evaluation, and project materials; identifies coordination gaps and improves portfolio processes. Requires education-sector knowledge, strong communication and facilitation skills, independent judgment, and proficiency with project management tools.

Manage and grow an enterprise account portfolio across technology, cloud, and digital services. Own renewals, retention, upsells, cross-sells, account planning, forecasting, and executive relationships. Partner with client strategy, solutions, and product teams to deliver customer value, expand buying centers, and meet revenue targets. The role requires subscription or data sales experience, enterprise selling expertise, quota attainment, strong communication, and the ability to negotiate with sophisticated procurement teams.

Drive go-to-market strategy and quota-carrying sales for Fortinet’s AI security solutions. Build pipeline, close complex enterprise deals, deliver executive presentations and product demonstrations, train account teams and partners, and advise customers on AI governance, runtime protection, guardrails, automated red-teaming, and shadow AI. Develop strategic customer relationships, engage C-level stakeholders, and serve as an AI security evangelist while collaborating with sales, marketing, and product teams.

Drives go-to-market strategy and enterprise sales for Fortinet’s AI security solutions. Builds pipeline, closes complex six- and seven-figure deals, leads executive presentations and product demonstrations, trains account teams and partners, and advises customers on AI governance, runtime protection, guardrails, red-teaming, and shadow AI. Requires strong technical sales experience, AI expertise, executive engagement, and travel up to 50%.

Provides pre-sales technical leadership for AI security solutions, including technical discovery, architecture reviews, demonstrations, proof-of-concepts, deployment support, partner enablement, and customer training. The role supports sales strategy, develops demo environments, enables regional sales engineers, manages technical handoffs, and builds relationships with enterprise AI and security leaders. Requires AI security expertise, cloud deployment experience, Docker and Kubernetes knowledge, and travel up to 50%.

Supports pre-sales execution for AI security solutions through technical discovery, architecture reviews, proofs of concept, demonstrations, customer deployments, partner enablement, and technical training. The role develops regional sales engineers, maintains demo environments, supports cloud and self-hosted deployments, leads customer engagements, and builds relationships with technical decision-makers. It also serves as an AI security evangelist focused on agentic AI best practices and secure AI adoption.

Lead go-to-market strategy and quota-carrying sales for Fortinet’s AI security solutions across SLED accounts. Build pipeline, close complex enterprise deals, conduct executive presentations and product demonstrations, train account teams and partners, and advise customers on AI governance, guardrails, runtime protection, automated red-teaming, and shadow AI. Develop strategic customer relationships, engage C-level stakeholders, and collaborate with sales, marketing, and product teams to drive adoption and revenue.

Leads go-to-market strategy and quota-carrying enterprise sales for Fortinet’s AI security solutions. Responsibilities include building pipeline, closing complex deals, conducting executive presentations and demonstrations, consulting on AI security architecture, training account teams and partners, and developing strategic customer relationships. The role serves as an AI security evangelist while collaborating with sales, marketing, product, and channel teams to drive adoption and business outcomes.

Leads the global technical development strategy for Well Construction Products and Production Services. Establishes competency frameworks, career paths, certification standards, governance, and multi-year capability roadmaps. Drives workforce transformation through digital learning, AI-enabled content, analytics, and blended training. Partners with executives and cross-functional leaders on budgets, ROI, workforce readiness, commercial training solutions, and operational performance. Oversees technical training networks, succession planning, assessor qualification, and continuous improvement across a global industrial or oilfield services organization.

Oversee credit risk, fraud risk, and line management model reviews, assessing conceptual soundness, data quality, performance, and monitoring. Prepare model review documentation for audits and regulators, communicate findings to senior stakeholders, evaluate machine learning applications, and enhance enterprise model risk governance for evolving modeling techniques.

Provides legal and strategic counsel on digital experiences, emerging technology, design, internet law, accessibility, AI, APIs, digital identity, and related regulatory matters. Advises product, design, technology, marketing, and business teams; drafts and negotiates contracts; develops scalable legal frameworks, playbooks, standards, and design patterns; conducts legal research; and delivers guidance and training across the enterprise.

Leads process control and improvement across aerospace investment-casting manufacturing processes. Manages and mentors Process Owners, establishes process goals and performance measures, defines key variables, implements SPC and real-time monitoring, and reduces scrap, rework, cost, and cycle time. Ensures compliance with AS9100 and NADCAP requirements, supports capital projects and advanced manufacturing transitions, develops continuity plans, and collaborates globally to standardize best practices and improve quality and output.

Summer interns will work with portfolio managers, quants, and front-office teams to analyze financial data, develop models and trading signals, build AI- and LLM-powered tools, and contribute to analytics libraries. The program includes training in macroeconomics, financial markets, trading strategies, risk management, Python, Excel, and AI tools. Interns will research trade ideas, support market models, and may be considered for the firm’s graduate program.

Summer interns support systematic macro trading by building data pipelines, analytical models, trading signals, backtests, and AI-powered tools. They collaborate with portfolio managers and quants, contribute to analytics libraries, research trade ideas, and support risk and trading decisions. The program includes training in financial markets, Python, Excel, AI tools, and LLMs, with potential conversion to a graduate program.

Summer interns will apply quantitative analysis, machine learning, and AI techniques to financial research and trading problems. Responsibilities include developing analytics libraries, integrating AI into trading tools, creating strategies and signals, backtesting, and building LLM-based and agentic research workflows. Interns receive training in financial markets, quantitative methods, Excel, Python, and AI tools, while collaborating with quantitative teams, portfolio managers, and senior professionals.

The Director of Finance leads consolidated reporting, budgeting, forecasting, tax compliance, internal controls, KPI analytics, acquisitions, and financial integration across a growing multi-entity veterinary practice group. The role partners with the CFO and executive leadership on strategy, capital allocation, long-range modeling, due diligence, and risk management while mentoring the accounting team and supporting operational decision-making.

Leads Accounting, Treasury, Insurance and Risk, Technology, and Marketing functions. Establishes priorities, accountability, performance standards, and strategic alignment across departments; develops leaders; oversees planning, budgeting, financial controls, compliance, technology initiatives, cybersecurity, digital transformation, and marketing strategy. Partners with executive leadership to improve operational effectiveness, manage organizational risk, support growth, and drive cross-functional execution.

Leads Pebl’s data strategy, modern data infrastructure, security, governance, analytics, and AI integration. The Director of Data will architect scalable pipelines, turn data into business insights, embed AI across products and internal workflows, communicate findings to executives, and build a high-performing team of data engineers, analysts, and AI specialists. The role requires close collaboration with Marketing, Sales, Operations, Finance, Legal, and R&D, with in-office work in Palo Alto Monday through Wednesday.

Leads strategic insights for life sciences clients by using H1 data and platform capabilities to solve business challenges. Responsibilities include client discovery, bespoke analyses, data visualizations, scientific expert engagement strategies, project leadership, and translating complex findings into actionable recommendations. The role partners with account teams, leadership, engineers, and data scientists to deliver client-focused solutions and support value realization and expansion.

Sell AlphaSense’s Enterprise Intelligence solution to investment teams and C-suite leaders across hedge funds, private equity, asset management, and investment banking. Responsibilities include prospecting, qualifying opportunities, leading consultative sales processes, coordinating Sales, Product, Engineering, and Technical teams, managing stakeholder communications, developing trial plans, and creating strategies to close enterprise deals.

Leads applied AI and machine learning research initiatives across investments and finance, translating business problems into scalable production capabilities. Sets scientific direction, develops and evaluates research hypotheses, guides experimentation and validation, and establishes standards for reproducibility, explainability, documentation, and model governance. Manages and develops a multidisciplinary team while partnering with senior stakeholders and presenting technical recommendations. Requires extensive analytical and research experience, people leadership, machine learning expertise, and investment or quantitative finance experience.

Develop and architect physics-based modeling and simulation software for advanced space nuclear systems. Lead software engineering standards, architecture, code reviews, testing, verification and validation, release management, CI/CD, and documentation. Refactor scientific codes, build multiphysics simulation interfaces, ensure reproducibility, and collaborate with NASA and multidisciplinary engineering teams. The role requires C++, Python, engineering software development, numerical methods, high-performance computing, parallel processing, and the ability to validate physics-based models.