Deloitte is looking to solve complex problems with valuable outcomes by delivering high-quality, outcome-focused GenAI engineering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments.
Requirements
- Foundational knowledge in software engineering principles, including an understanding of concepts such as OOP, OOD, data structures, algorithms, and code instrumentations.
- Exposure to and basic experience with one or more of the following GenAI technologies: OpenAI, Claude, Gemini, and Prompt Engineering.
- Exposure to and basic experience with one or more of the following AI/ML technologies: TensorFlow, PyTorch, and ML Libraries.
- Exposure to one or more of the following technologies: Angular, React, Node.js, Python, C, .NET Core, and SQL/NoSQL databases.
- Basic understanding of cloud-native engineering concepts, including the use of FaaS, PaaS, and microservices on cloud hyper-scalers such as Azure, AWS, or GCP.
- Basic understanding of methodologies & tools such as XP, Lean, Azure DevOps, or GitHub to deliver high-quality products rapidly.
- Basic understanding of the full lifecycle product development, focusing on continuous improvement and learning.
Responsibilities
- Develop GenAI engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
- Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
- Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
- Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded.
- Develop lean GenAI engineering solutions through rapid, inexpensive experimentation to solve customer needs.
- Adopt a mindset that favors action and evidence over extensive planning, utilizing a learning-forward approach to navigate complexity and uncertainty.
- Develop expertise in modern software engineering practices and principles, including Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle.
Other
- A bachelor’s degree in computer science, data science, software engineering, or a related discipline with a graduation date between May 2025 - December 2025.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations and changing priorities, behaving with passion, empathy, and care.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to handle diverse situations and changing priorities
- Ability to work collaboratively with empowered, cross-functional teams
