Senior AI Engineer Agentic AI | Bangalore | Immediate Joiners

Deloitte Shared Services India; Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Deloitte Shared Services India seeks an experienced AI Implementation Engineer to design, build, deploy, and operationalise AI agents and intelligent automation within CLD/Sys. You will own end-to-end delivery from use-case to production, integrating with existing tools and knowledge sources.

The role emphasizes hands-on engineering and reusable patterns, with close collaboration to Architecture, Security and Infra teams.

Qualifications

• Graduation in B.Tech/MBA/BBM/BBA/B.Com or equivalent.
• Design, develop and deploy AI agents and AI-enabled automation workflows.
• Implement AI solutions using Azure OpenAI and AWS Bedrock.

Responsibilities

• Own engineering delivery from use-case to production deployment.
• Build reusable components and documentation for internal capability.
• Collaborate with Architecture, Security and Infra teams to deliver secure solutions.
• Work hands-on; not primarily a management role.

Skills

AI implementation

Python development

REST API integration

CI/CD pipelines

Software design patterns

Secure coding

Automation workflows

Agile/project delivery

Education

B.Tech/MBA/BBM/BBA/B.Com

Tools

Azure OpenAI

AWS Bedrock

Job description

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 1012+ 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.
• 1012+ 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