Assistant Manager | Data Scientist | Bengaluru | Sustainability & Emerging Assurance

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft is seeking a senior AI Implementation Engineer in Bengaluru. You will design, build, deploy, and operationalise AI agents and automation workflows across CLD/Sys, integrating with existing tools, APIs, and knowledge sources.

The role requires 10–12+ years of engineering experience, strong Python, REST, and enterprise integration skills, and hands-on expertise with Azure OpenAI or AWS Bedrock.

Qualifications

• 10+ years of overall engineering experience with hands-on implementation
• Strong Python development, REST API and enterprise integration skills
• Experience with AI agents, AI copilots and RAG solutions
• Experience with Azure OpenAI or AWS Bedrock is required, both preferred

Responsibilities

• Design, build, deploy and operationalise AI agents and intelligent automation solutions
• Own end-to-end engineering delivery from use-case identification to production deployment
• Build reusable components and documented implementation patterns; transfer knowledge
• Collaborate with Architecture, Security and Infrastructure teams to deliver secure, governed solutions

Skills

Python development

REST API

Enterprise integration

CI/CD pipelines

AI implementation

Education

B.Tech or equivalent

Tools

Azure OpenAI

AWS Bedrock

Agent orchestration frameworks

Automation frameworks

Job description

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Job Title: Assistant Manager | Data Scientist | Bengaluru | Sustainability & Emerging Assurance

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

• 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. .
• 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