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Internship Deloitte Computer Science Jobs in Oregon

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ...

Deloitte

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

Deloitte is focused on helping organizations manage and sustain their performance through their ... such as Computer Science, Engineering, or Physics, or equivalent experience • 8+ years of ...

Deloitte

SAP QM Senior Consultant

Portland, OR · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering * 7+ years of ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Deloitte

Cloud Security Engineer Manager

Portland, OR · On-site

$151K/yr

Bachelor's degree or equivalent in Information Technology, Computer Science, or Engineering ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

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Internship Deloitte Computer Science information

What are the key skills and qualifications needed to thrive as an intern in Computer Science at Deloitte, and why are they important?

To thrive as a Computer Science intern at Deloitte, you need a solid understanding of programming fundamentals, data structures, and algorithms, typically demonstrated through ongoing studies in a relevant degree program. Familiarity with programming languages like Python or Java, experience with databases, and knowledge of version control systems such as Git are commonly required. Strong analytical thinking, effective communication, and a willingness to learn make interns stand out in collaborative and fast-paced environments. These skills and qualities are vital for successfully contributing to client projects, adapting to new technologies, and working efficiently within Deloitte's multidisciplinary teams.

What is an Internship at Deloitte for Computer Science students?

An Internship at Deloitte for Computer Science students is a temporary position that offers hands-on experience in technology, consulting, or related fields within the company. Interns work alongside experienced professionals, contributing to real projects, learning industry best practices, and developing technical and soft skills. The program is designed to provide insight into Deloitte's work culture and can often lead to full-time job opportunities upon graduation. Interns may be involved in tasks such as software development, data analysis, or IT consulting, depending on the specific team and project needs.

What types of projects do computer science interns typically work on at Deloitte, and how do these projects support professional development?

As a computer science intern at Deloitte, you can expect to work on real-world projects that often involve data analysis, software development, automation, or cybersecurity initiatives. These projects are designed to address client needs or improve internal processes, allowing interns to apply their technical skills in a business context. You'll typically collaborate with multidisciplinary teams, including consultants and senior engineers, which fosters both technical and soft skill growth. This hands-on experience not only builds your resume but also exposes you to Deloitte's methodologies and work culture, supporting your long-term professional development.
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Internship Deloitte Computer Science jobs near you
Infographic showing various Internship Deloitte Computer Science job openings in Oregon as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.
Senior AI Engineer - SFL Scientific

Senior AI Engineer - SFL Scientific

Deloitte

Portland, OR • On-site

$110K - $152K/yr

Full-time

Posted 3 days ago

Key responsibilities

  • Work with clients to design, develop, and deploy new architectures to support machine learning and automation applications.

  • Design and lead development on scalable, high-performance data architecture solutions that support client business and AI/GenAI use cases.

  • Mentor, motivate, and coach junior members on technical best practices and inspire professional development.

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a Deloitte Business. In this role, you will develop AI infrastructure and deployment services, collaborating with cross-functional teams to design and implement scalable data architecture solutions for machine learning applications.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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