Top AI Jobs in Chicago, IL

Supports data and analytics consulting projects through research, data analysis, visualization, predictive analytics, and machine learning tasks. Uses Python, SQL Server Data Tools, Power BI, Tableau, and Alteryx to manipulate data, validate findings, develop visualizations, and generate actionable insights. Collaborates with experienced professionals while learning consulting methodologies, artificial intelligence applications, and data-driven solution development.

Develop AI and data analytics solutions for AML and sanctions clients within PwC’s Risk & Regulatory practice. Responsibilities include Python-based data analysis, designing data architectures and pipelines, creating dashboards, interpreting complex datasets, engaging stakeholders, and delivering actionable insights and tailored client solutions. The role also involves client relationship building, problem-solving, continuous improvement, and contributing to strategic business outcomes.

Support legal, regulatory, and compliance consulting projects involving fraud investigations, forensic analysis, regulatory enforcement, governance, and risk mitigation. Responsibilities include researching commercial laws, reviewing legal documents, maintaining corporate records and legal databases, and assisting with contract negotiation and dispute resolution. The intern will collaborate with advisory teams, learn PwC methodologies, and contribute to client deliverables while developing skills in legal compliance, regulatory management, and investigations.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Supports internal audit teams by evaluating controls and business processes, analyzing financial statements under GAAP and auditing standards, conducting risk analysis, and assisting with IT audit activities. The intern contributes to process improvement, data visualization, report writing, stakeholder management, and project coordination while developing accounting, audit, and commercial awareness skills.

Supports Financial Crimes Unit consulting projects involving data analysis, business intelligence, data pipelines, visualization, compliance operations, and regulatory risk. The intern collaborates with stakeholders, helps develop data-driven solutions and business cases, researches financial crime requirements, and learns PwC methodologies in a client-facing environment.

Supports data analysis and analytics projects through research, data gathering, dashboard creation, algorithm development, data integration, data mining, and data integrity validation. Uses Alteryx and Power BI to automate workflows and report metrics. Collaborates with advisory teams, develops data-driven insights, and learns PwC methodologies while contributing to client-focused projects.

Leads CrowdStrike’s Red Team, overseeing penetration testing and adversary emulation engagements, operations, reporting, metrics, vendor relationships, and customer coordination. Manages and mentors team members, supports security program improvements, scopes engagements with Sales, guides crisis response, and communicates findings to executive and technical audiences. The role requires advanced security assessment, networking, operating system, vulnerability testing, automation, scripting, and tool-development expertise, with occasional travel.

Supports AI engineering initiatives at Vantor, contributing to spatial intelligence solutions and helping develop technologies that enable customers to understand current and future conditions. The posting provides limited role-specific responsibilities but emphasizes problem-solving, innovation, collaboration, and mission-focused work. Applicants must qualify as a U.S. Person under applicable export control and ITAR requirements.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Manage enterprise SaaS renewals by protecting and expanding annual recurring revenue. Develop renewal strategies, negotiate commercial terms, prepare offers, structure upgrades and Flex conversions, manage contracts, research customer utilization, forecast renewals, and mitigate account risks. Partner with enterprise sales teams and customer value architects while serving as a subject matter expert on subscription renewals and sales processes.

Develops and leads complex hybrid infrastructure solutions in a field-based technical pre-sales role. Provides customer consultation, architecture, optimization, assessments, proposals, RFP responses, and executive-level technical guidance. Builds strategic customer relationships, leads solution visioning, mentors technical teams, supports business development, and contributes to go-to-market initiatives. Requires extensive hybrid infrastructure expertise, strong communication and presentation skills, executive influence, and willingness to travel.

Own Eve’s messaging house, positioning, competitive narrative, first-call deck, keynote and event content. Partner with executives, Product, Sales, Enablement, Demand Gen, and Content to ensure consistent, differentiated messaging. Gather market feedback from customers, prospects, and sales calls, translating technical AI capabilities into clear value for plaintiff attorneys. The role requires exceptional writing, executive presence, strategic messaging expertise, and 7+ years of B2B SaaS or legal technology product marketing experience.

Leads the design and operation of an integrated renewals and commercial operations function covering pricing, deal desk, contract negotiation, discount governance, and RFP resources. Redesigns processes using AI and automation, defines CPQ and contract lifecycle requirements, improves ARR and productivity, establishes commercial policies, monitors KPIs, and builds a high-performing team while partnering with Sales, Legal, and Finance.

Own the clinical safety strategy for Headway’s behavioral health platform. Define risk detection, escalation, severity taxonomies, and safeguards across patient and provider product surfaces. Partner with product, engineering, clinical operations, and AI teams to audit safety gaps, evaluate AI outputs, create clinical rubrics, and ensure policies accurately reflect risk ownership. Advocate for clinical rigor while translating complex safety requirements into actionable product systems.

Owns the strategy, roadmap, implementation, compliance, and continuous improvement of global time and absence programs. Manages Workday Time and Absence modules, leave policies, regulatory updates, payroll data flows, stakeholder collaboration, training, communications, and change management across global regions. Ensures accurate time tracking, leave administration, legal compliance, operational efficiency, and positive employee experiences.

Architect and scale enterprise software for experimentation, audience segmentation, and customer journey decisioning across marketing and messaging platforms. Build high-performance, AI-powered systems using machine learning, agentic workflows, distributed streaming, and personalization. Partner with data science, product, and engineering teams; mentor engineers; and drive technical excellence, experimentation, and innovation.

Leads ecosystem risk and integrity for Capital One’s global payment network. Responsibilities include developing participant risk-rating methodologies, enforcing operational and regulatory standards, deploying AI-augmented risk monitoring, advising executives, managing partner risk lifecycles, conducting risk and gap assessments, improving governance and processes, and recruiting and mentoring Risk Specialists.

Lead product strategy and roadmap ownership for high-priority Coursera and Udemy platform areas, including AI-powered features and creator content experiences. Define end-to-end solutions for instructors, creators, learners, and enterprise customers; make product decisions amid ambiguity; partner with Engineering, Design, and Data through launch; use customer insights and analytics to improve outcomes; and mentor product peers.

Lead enterprise sales for Braze AI Decision Studio by developing new and existing senior customer relationships, guiding AI solution evaluations, quantifying business impact, and supporting proofs of value. Partner with sales, pre- and post-sales, implementation, product, and marketing teams. Train colleagues on reinforcement learning in marketing, communicate customer needs, and represent Braze AI at executive meetings, events, conferences, and trade shows.

Lead and grow an enterprise sales team selling AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. Responsibilities include recruiting, coaching, forecasting, quota attainment, pipeline management, strategic deal support, onboarding, performance improvement, and leadership reporting. The role partners with Marketing, Product, and Customer Success to shape demand generation and messaging while driving consultative sales methodology across the team.

Leads Capital One’s Payment Success Program and ecosystem integrity strategy across fraud mitigation, authorizations, disputes, and transactional health. Advises executives, strengthens risk controls, protects the payment network from malicious activity, establishes performance standards, and integrates risk insights into partner lifecycle management. Builds metrics and data-driven insights while recruiting, mentoring, and managing a team of 15–20 risk and payment professionals.

Develop, deploy, and monitor fraud detection models and pattern-recognition pipelines using Python, SQL, machine learning, and large transactional datasets. Partner with Fraud Operations to refine models, reduce false positives and negatives, analyze emerging fraud trends, and improve underwriting and verification strategies. Communicate insights to senior stakeholders, apply AI in production, and lead team members and initiatives.

Leads internal and external compliance audits, assessments, attestations, and certifications across security, privacy, and enterprise frameworks. Develops system integrations and scalable automation to streamline audit and compliance programs. Communicates with internal and external stakeholders, evaluates risks, improves information security processes, and applies AI technologies to enhance workflows and decision-making.