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 

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