Top Internships

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and full-stack systems. Responsibilities include designing APIs and service boundaries, mentoring engineers, establishing engineering standards, improving system performance, reducing technical debt, and evaluating emerging technologies. The role uses multiple programming languages, databases, container orchestration, cloud platforms, CI/CD, infrastructure as code, automated testing, and observability tools.

Configure and support Workday across HCM, Recruiting, Compensation, Payroll, Benefits, and related modules. Translate business priorities into technical solutions, build and document system configurations, troubleshoot production issues, test updates, improve HR processes, and collaborate with product owners and stakeholders. The role also requires experience with business processes, calculated fields, custom reports, Workday security, reporting, and EIB data loads.

Owns product management for automotive products, applying customer-centered design, business strategy, technology, problem-solving, and transformational leadership to create digital customer experiences. The role involves identifying value opportunities, translating strategy and analysis into consumer-facing products, leading cross-functional teams, resolving complex problems, mitigating product risks, and driving organizational alignment and execution.

Designs, administers, secures, and maintains enterprise Google Workspace and Microsoft 365 collaboration platforms. Leads cross-functional integration strategy, IAM, content governance, compliance, monitoring, automation, vulnerability remediation, and technical support. Partners with product, risk, legal, architecture, and engineering teams to deliver platform capabilities, improve reliability, manage integrations, document solutions, and mentor engineers. Uses scripting and cloud tools to automate workflows and support scalable, secure collaboration environments.

Maintains supplier master data, reviews onboarding and modification requests, conducts tax, sanctions, and risk compliance checks, and supports supplier enablement through Coupa. The role researches vendor and payables issues, resolves system and operational challenges, builds vendor and stakeholder relationships, and leads continuous process improvement within Enterprise Supplier Management Operations.

Leads product strategy and execution for Capital One’s Card Acquisitions customer experience platforms. Responsibilities include defining platform roadmaps, managing product managers, consolidating capabilities, improving operational efficiency, leading application prefill and identity initiatives, and partnering with senior Card, Engineering, and Design leaders to deliver scalable digital experiences.

Performs journal entries, reconciliations, settlement processes, general ledger activities, and periodic reporting. Researches and resolves data issues, drives process improvements, supports data requirements and audit compliance, and participates in accounting projects and ad hoc requests. The role offers opportunities to expand into analysis and project work while supporting Capital One business lines.

Leads business continuity, crisis response, operational resilience, and third-party risk management across banking and premium products. Directs incident command, disaster recovery frameworks, vendor risk oversight, continuity planning, post-incident remediation, regulatory engagement, and technology resilience initiatives. Partners with technology risk, supplier management, audit, regulators, and senior business leaders to protect critical services and customer trust amid evolving technology and AI-driven risks.

Leads an enterprise data science team developing agentic AI products and machine learning solutions. Responsibilities include defining modeling strategy, designing experiments, analyzing telemetry, influencing senior leaders, validating and stress-testing models, and overseeing the full model lifecycle from design through implementation. The role partners with engineering and research teams and requires extensive experience in large-scale analytics, machine learning, relational databases, cloud computing, and open-source programming.

Leads an AI engineering team developing scalable, responsible AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Oversees architecture, deployment, optimization, build-versus-buy decisions, and long-term technical strategy. Translates enterprise goals into measurable roadmaps, operationalizes responsible AI standards, collaborates cross-functionally, and mentors engineering talent while advancing production AI capabilities.