Top Internships

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 product management for enterprise tokenization solutions that protect sensitive data across third-party ecosystems. Partners with engineering, business lines, and external vendors to analyze data-sharing patterns, develop secure SDKs and APIs, enable integrations, and deliver scalable digital products. Drives customer-focused strategy, technical execution, risk mitigation, and cross-functional organizational alignment.

Manages end-to-end fulfillment and onboarding processes, leading domestic associates and offshore contractors. Develops performance metrics, monitors throughput and quality, documents controls, resolves data issues, and drives process improvements. Partners with Product and Technology teams to redesign workflows and improve onboarding speed and consistency. Requires strong leadership, analytical, relationship-management, and process/project-management skills.

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.

Leads full-stack software engineering projects and development teams building cloud-based, distributed microservices and financial technology solutions. Designs service boundaries, APIs, frameworks, and operational standards; mentors engineers; evaluates emerging technologies; improves performance and reduces technical debt. The role requires expertise across programming languages, databases, cloud platforms, container orchestration, CI/CD, infrastructure as code, automated testing, version control, observability, and modern AI-based development tools.

Lead content and conversation design for Capital One’s AI banking agent. Create conversational journeys, golden dialogues, content systems, and user-centered digital experiences. Shape product strategy, mentor designers, influence cross-functional partners, and apply research, business insight, and design expertise to complex regulated banking problems. Responsibilities include content governance, taxonomy, microcopy, design-system contributions, stakeholder communication, and strategic portfolio management.

Lead product strategy and execution for AI/ML model monitoring and governance. Partner with data scientists, ML engineers, model risk officers, and cross-functional teams to prioritize work, design user-centered solutions, and drive adoption. Manage backlog, support agile ceremonies, guide design research/prototyping, and communicate plans and outcomes to stakeholders and executives.

Provides cybersecurity consulting and governance for a business function, evaluating architectures, infrastructure, cloud, network, data, access, and resilience risks. Advises engineering and product teams on security capabilities, risk mitigation, and secure development. Manages cyber risks, supports incident analysis, presents security health to executives, and evaluates AI-related security, privacy, compliance, and attack risks.

Leads SQL Server database architecture, performance tuning, high availability, disaster recovery, patching, upgrades, security, compliance, and incident resolution. Provides technical leadership across full-stack engineering teams, develops cloud-based solutions, mentors engineers, establishes engineering standards, and drives large-scale technology initiatives. Uses modern programming languages, cloud platforms, containers, databases, APIs, CI/CD, infrastructure as code, and observability to improve system performance and reduce technical debt.