Top Internships

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.

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 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.

Leads product management for Capital One’s Anti-Money Laundering risk platform. Responsibilities include launching regulatory-compliance features, partnering with data and technology teams, using AI tools for product discovery and delivery, developing the product roadmap, and driving a multi-year enterprise risk management transformation. The role requires cross-functional leadership, customer-focused product development, business and technology strategy, integrated problem-solving, and risk mitigation.

Analyzes complex data to support business strategies, develops self-service data solutions, dashboards, metrics, and visualization tools, and manages data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, data management, Snowflake development, business intelligence, and collaboration with technology and business teams.

Leads cybersecurity governance and risk project management, coordinating audit, regulatory, and executive engagements. Directs project planning, prioritization, implementation, documentation, and closeout while improving processes through Lean and Six Sigma methods. Builds and develops teams, manages competing priorities, establishes performance metrics, and influences cross-functional stakeholders across technical and business organizations.