Kick-start your engineering career at Accenture as an Early Talent AI Native Engineer. This is an entry-level role designed for recent graduates and early-career engineers with strong software engineering foundations, high learning agility, and demonstrated AI curiosity. You will be hired with a clear hire-to-train model and developed into a client-facing, full-stack, AI-native engineer embedded directly in delivery teams.
As an Early Talent AI Native Engineer, you will work across the full software development lifecycle building and evolving custom applications, platforms, and APIs while learning to leverage cloud, DevOps, and AI tools to accelerate delivery. You will develop your ability to translate business needs into scalable, production-ready solutions alongside experienced engineers and architects.
- Collaborate with engineers, architects, and product teams to design, build, test, and deploy custom applications and services
- Develop API-driven and platform-based solutions across front-end and back-end using your primary language (Python, Java, or TypeScript)
- Work in Agile delivery models (Scrum, Lean, XP) — contributing reliably to sprint cycles and communicating progress clearly
- Use AI coding assistants daily as a standard part of delivery — actively, frequently, and with demonstrable impact on your productivity and output quality
- Apply AI across the software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks
- Validate AI-generated outputs — check for errors, limitations, and hallucinations; develop sound judgment about when AI output is reliable and when human verification is required
- Contribute to proofs of concept, technical documentation, and solution development alongside senior engineers
- Engage in client-facing environments and learn to communicate technical concepts clearly to non-technical stakeholders
- Develop your understanding of how agentic systems work — how agents are orchestrated, how LLMs are called, and how software connects to AI pipelines — through on-the-job exposure and active self-development
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field
- Foundational programming experience (Python, Java, TypeScript, or Node.js
- Basic understanding of web technologies including JavaScript, HTML, and CSS
- Academic projects, internships, or personal projects in software development
- Understanding of Agile delivery fundamentals
- Active and frequent use of AI tools in day-to-day study or work — successful candidates can demonstrate practical, everyday examples of how they leverage AI to solve problems, accelerate learning, and improve their output