Join our dynamic team as an Associate Director, focusing on Generative AI within the Artificial Intelligence & Data practice. This role offers a significant opportunity to shape AI Insights & Engagement strategies and drive innovation.

Deloitte's Technology & Transformation practice empowers clients to harness the full potential of their data. We provide strategic guidance and implementation services, transforming vast datasets into actionable insights that fuel informed decision-making and create a competitive advantage.

Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics, including big data, cloud, cognitive computing, and machine learning.

Develop robust Python-based backend services and APIs, leveraging frameworks like FastAPI. Implement sophisticated AI/LLM workflows, including orchestration, tool calling, and structured output generation.

Seamlessly integrate SAP and non-SAP systems through REST/OData APIs. Build and maintain production-ready, reusable, and secure backend workflows, supported by comprehensive testing, CI/CD pipelines, and vigilant monitoring.

Design and develop AI workflows, business rules, and structured outputs. Integrate LLMs, AI services, SAP APIs, and external enterprise systems. Construct reusable backend modules for chat, tool calling, data grounding, and evaluation workflows, ensuring security, reliability, scalability, and observability in production environments. Collaborate effectively with frontend and platform teams to deliver complete AI applications.

We are seeking an experienced professional with over 13 years of experience in backend development and AI integration.

Key technical proficiencies include Python, FastAPI, and general backend development. Experience in designing GenAI and Agentic AI architectures is crucial. Proficiency in LLM/GenAI integration, AI workflow orchestration, REST APIs, OData, and SAP integration is essential.

Familiarity with Cloud platforms, Git, CI/CD practices, testing methodologies, and security protocols is required. Experience with workflow engines, tool calling, and structured outputs is highly valued. While not mandatory, experience with TypeScript/Node.js is a plus. Experience with scripting languages like PowerShell or Bash is also beneficial.