Assistant Manager | Data Scientist | Bengaluru | Sustainability & Emerging Assurance • Job requisition ID : 115431 • Location: Bengaluru • Entity: Deloitte Touche Tohmatsu India LLP The Team Assurance had to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about Assurance Your work Profile. • We are seeking an experienced, hands-on AI Implementation Engineer with 10–12+ years of overall engineering experience to design, build, deploy and operationalise AI agents and intelligent automation solutions within CLD/Sys, working alongside the existing automation team. • The engineer will implement AI agents, AI Copilots, Retrieval-Augmented Generation (RAG) solutions and agent-driven workflows using enterprise-approved platforms such as Azure OpenAI and AWS Bedrock. These solutions will integrate with existing infrastructure tools, automation frameworks, APIs and enterprise knowledge sources. • The role will own practical engineering delivery from use-case identification and solution design through coding, integration, evaluation, production deployment and continuous improvement. A key responsibility is to build sustainable internal capability through reusable components, documented implementation patterns and hands-on knowledge transfer. . • Working closely with Architecture, Security and Infrastructure teams, the engineer will deliver secure, governed and supportable solutions. • This is a senior, hands-on implementation role, not primarily a management, advisory, research or standalone enterprise AI platform ownership position. . Key skills required: • Education - Any Graduation in B.Tech/MBA/ BBM / BBA / B. Com • Design, develop and deploy AI agents, operational assistants and AI-enabled automation workflows for CLD/Sys • Implement AI solutions using Azure OpenAI, AWS Bedrock and appropriate agent orchestration frameworks. • Develop RAG solutions connected to approved runbooks, technical documentation, knowledge repositories and operational records. • Connect AI agents to existing Python scripts, REST APIs, infrastructure automation, monitoring and service management platforms. • Build and maintain CI/CD pipelines for reliable delivery of AI applications and agent workflows. • 10–12+ years of overall experience in software engineering, platform engineering or infrastructure automation, with strong hands-on implementation expertise. • Strong Python development, REST API and enterprise integration skills • Experience with automated testing, software design patterns, secure coding and maintainable application development. • Strong implementation experience in at least one of Azure OpenAI or AWS Bedrock is required. Experience across both is preferred