AI Agent Builder

Build intelligent autonomous systems. Join our innovation team developing and implementing agentic AI workflows that solve real business challenges. Design, build, and scale AI agents that directly impact how our organization works. At Deloitte.

What impact will you make?

As an AI Agent Builder, you will design and develop intelligent autonomous workflows that solve complex business problems. You’ll work on enterprise AI projects, collaborating with senior architects and technical teams to translate business requirements into production-ready AI agents. You’ll focus on understanding how AI should be applied: choosing the right patterns, architectures, and frameworks, and implementing them effectively. Under the guidance of experienced mentors, you’ll master agentic AI design patterns, workflow orchestration, LLM integration strategies, and production deployment practices. You will be responsible for the development of agents for well-defined use cases, collaborate with senior architects and engineers, and contribute to solutions that directly impact business outcomes and that achieve user adoption.

You’ll be part of a team developing and rolling out enterprise AI agent capabilities across our organization. Your work will directly impact adoption rates, user satisfaction, and business outcomes across multiple business units and client engagements.

How do you do this?

• Translate business requirements into AI workflows: Work with clients and stakeholders to understand their challenges and design agentic AI solutions that address real business needs.
• Architect data and information flows: Determine how AI systems should access and use data.
• Define AI interaction strategies: Design how users and systems will interact with AI agents, including prompting strategies and feedback loops.
• Implement and test AI workflows: Build and validate agents using enterprise frameworks and tools.
• Deploy agents to production environments: Ensure agents meet production quality standards and performance requirements.
• Gather user feedback and iterate: Collect feedback from users and continuously improve AI workflow designs.
• Learn from experienced architects: Understand how to match business problems to AI patterns.

What’s in it for you?

• Learn from industry leaders: Work alongside experienced GenAI architects and senior developers who are passionate about mentoring. Access training on agentic AI patterns, best practices, and emerging technologies.
• A clear growth path: Clear path to senior AI solution designer, including active coaching for support.
• Latest technology: Access to cutting-edge AI tools, frameworks, and platforms.
• Flexibility: Flexible work arrangements (32 hours to 40 hours).
• Professional development: Learning budget, certifications, and training opportunities.
• Develop deep expertise in agentic AI: Deep expertise in autonomous AI systems is highly valued in the market.
• Shape the future of AI: Your implementations influence how we utilize AI to transform the way we work.
• Inclusive culture: Collaborative, diverse, and supportive team environment.

Who are you?

• 0-2 years of professional or academic experience with AI/ML concepts or software engineering background with AI / ML self-study. Comfortable with Python or similar languages for implementing workflows and integrations.
• A curious and analytical mindset: You enjoy breaking down complex business problems
• Familiarity with AI frameworks: You understand their purpose and when to use them
• Understanding of AI workflow concepts: You know what agents are and how they differ from traditional AI
• Familiarity with prompt engineering best practices: You craft concise, context‑rich prompts, iterate and evaluate outputs, and apply constraints/guardrails for accuracy and safety.
• Eager to learn and experiment with new AI patterns and architectures
• Effective communication skills: You can explain technical concepts to non-technical stakeholders. You are proactive about sharing knowledge and learning from others.
• You thrive in a collaborative environment and enjoy working in cross-functional teams
• Fluency in English

Nice-to-haves

• Experience with Azure OpenAI or similar LLM platforms
• Experience with API integration and data workflows
• Relevant certifications (AI Fundamentals, Prompt Engineering)
• Contributions to AI/ML communities or open-source projects
• Understanding of evaluation frameworks for AI systems

Due to the large volume of applicants, we are unfortunately not considering new applications anymore. Should you decide to apply, you will only be contacted if we restart our selection process.