Top Internships

Lead design, build, deployment, and support of IBM Planning Analytics/TM1 solutions on AWS. Architect TM1 models, develop PAW/PAfE artifacts, manage TI processes and integrations, establish governance and SDLC controls, lead a TM1 team, drive AI-assisted engineering adoption, and partner with business stakeholders to optimize planning processes and ensure compliance and resiliency.

Prepare and submit India regulatory reports, perform reconciliations and variance analysis, produce management and KPI reporting, monitor nostro breaks, support audits, maintain procedures, and partner with technology and control teams to automate processes and resolve issues.

Provides digital accessibility guidance throughout the product lifecycle, partnering with cross-functional teams to embed accessibility into design, content, development, testing, release, and maintenance. Conducts accessibility reviews, audits, and assistive-technology testing; investigates defects and customer concerns; recommends remediation; supports regulatory and internal-policy compliance; and develops training and awareness content. Helps strengthen stakeholder alignment, accessibility program maturity, and continuous improvement.

Supports international pension, benefits, and wellness programs across the EMEA region and broader non-U.S. locations. Responsibilities include analyzing benefits against market data, developing costed proposals, coordinating regional projects, overseeing global review initiatives, responding to employee queries, and supporting audits, governance documents, pension boards, and benefits data reviews.

Develops secure, scalable software and data solutions using Databricks, Spark/PySpark, AWS, Python, and SQL. Designs applications, optimizes large-scale data processing, builds production ETL/ELT systems and data models, and supports AI/ML pipelines. Creates architecture artifacts, troubleshoots complex systems, validates AI-assisted development outputs, improves coding standards, and mentors engineers. Preferred experience includes Delta Lake, Unity Catalog, streaming, Airflow, MLflow, infrastructure as code, containers, Kubernetes, and monitoring tools.

Develop and support full-stack, data-enabled applications using Python, FastAPI, React.js, Databricks, SQLite, and SharePoint. Build REST APIs, front-end components, data workflows, integrations, and persistence layers while contributing to testing, documentation, CI/CD, deployments, observability, troubleshooting, and secure coding. Collaborate with stakeholders to clarify requirements, estimate work, deliver iteratively, and maintain operational runbooks.

Lead the design, development, and operational stability of a secure, scalable API platform. Build production software, review code, resolve technical debt, guide architecture and API standards, and collaborate with product and technology stakeholders. Drive adoption of cloud-native practices, DevOps, testing, automation, and approved AI-assisted engineering tools while ensuring secure, reliable, and compliant delivery.

Develops, designs, tests, troubleshoots, and maintains secure, scalable software applications using Java, Spring Boot, AWS, Kafka, and REST. Creates production code, architecture artifacts, visualizations, and reporting from large datasets. Applies agile, CI/CD, resiliency, security, and responsible AI-assisted development practices while improving system architecture and coding quality.

Design, build, and deploy secure, production-grade AI applications using large language models, agent systems, retrieval-augmented generation, and advanced analytics. Develop prompts, evaluations, guardrails, monitoring, tests, and observability to improve reliability and performance. Integrate cloud services, databases, APIs, and data sources while collaborating with product, engineering, governance, and risk stakeholders. Document architectures, troubleshoot production issues, and establish reusable engineering practices.

Leads product strategy, vision, discovery, market research, roadmap, backlog, and lifecycle execution for Kinexys payments products. Acts as the customer voice, defines success metrics, manages risk and reliability considerations, and collaborates with cross-functional teams to launch scalable, resilient products. Requires product management expertise, business fluency in Spanish, and the ability to operate in a complex, matrixed organization.