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As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.


Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

We are seeking a passionate and experienced AWS Solution Architect to join our dynamic team. In this role, you will play pivotal part in crafting innovative solutions for our clients, showcasing cutting-edge technologies, and driving the adoption of true cloud and cloud-native environments.
Responsiilities:
Design and deliver tailored cloud solutions for clients, addressing their unique business needs.
Present and demonstrate innovative technologies and solutions to clients, highlighting their technological value and business impact.
Conduct technical demonstrations (demos) to illustrate the capabilities and benefits of offerings.
Act as a technology evangelist, promoting advancements in public cloud solutions, and cloud native technologies.
Bridge legacy infrastructure environments with public cloud technologies, including Kubernetes, serverless, etc.
Collaborate with cross-functional teams to ensure seamless integration of solutions and customer satisfaction.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.

Responsibilities

Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

We are looking for an experienced End-User Computing Specialist, to assist organizations on their journey to the digital workspace.
Our goal is to help organizations achieve the best user experience in the IT workspace. We strive to embrace the latest EUC technologies and to provide our customers with the best possible solutions for their users' workspace.
As the challenge of IT departments keeping up with their users' requirements is growing, more and more organizations are making their journey to the Digital Workspace. We are here for them to provide the guidance and experience we've gathered through the years in the IT industry.
We've built our team upon values such as quality and reliability and we are searching for someone who shares these values and seeking to be part of a growing and innovative company.
What you will do:
As a specialist, you'll have deep-dive hands-on experience with all matters related to End User Computing technologies. The specialist will lead EUC projects at a variety of organizations while delivering an end to end professional services (planning, installation, configuration, administration, and maintenance). As part of the specialist role, you'll be managing queries and issues escalated from customers.
Responsibilities
Plan and architect EUC solutions from the infrastructure level to the end-user device level
Integrate best practices, evolving technologies, and EUC platforms such as VDI, Terminal, DAAS workspaces, and overall Enterprise Mobility
Create High & Low-level design documents, including procedures documentation
Installation and configuration of EUC solutions as part of the project scope
Build work plans, setting deadlines for various projects, and lead them to execution
Testing new technologies, finding the appropriate use cases with the customer base, and leading POC activities
Keep up to date with EUC solutions using documentation and LAB tests, and maintain required certifications
Provide effective technical support and fault resolution with timely feedback to customers, adhering to Service Level Agreements
Provide maintenance activities as part of a scheduled maintenance window during business hours and non-business hours if required
Take ownership of patching and upgrade projects for EUC environments in various organizations