TCS has been a great pioneer in feeding the fire of young techies like you. We are a global leader in the technology arena and theres nothing that can stop us from growing together.

What we are looking for

Role: AI - LLM Products L3 - Engineer

Experience Range: 8 to 12 Years

Location: Bangalore

Must Have:

- an engineering, platform or senior technical support role in enterprise environments (financial services preferred).
- Hands-on experience deploying and supporting AI/LLM products or M365 at enterprise scale; solid understanding of generative-AI concepts.
- Strong scripting and automation skills (e.g. Python, PowerShell, Microsoft Graph API) and familiarity with CI/CD concepts.
- Experience with security and compliance controls relevant to AI (DLP/Purview, access management, SSO/SCIM, audit logging, responsible-AI policies).
- Experience of connectors and/or the Power Platform; integration experience across M365, ServiceNow and identity platforms.
- Deep technical troubleshooting and root-cause analysis across AI and M365 platforms.
- Automation and scripting; ability to build tooling that reduces manual effort.
- Feature and model evaluation; translating vendor releases into safe enterprise rollouts.
- Knowledge-base authoring and mentoring of junior support staff.
- Collaboration across locations with disciplined handover.
- Act as the first point of call for engineering issues across the AI portfolio and investigate complex queries that Level 2.5 cannot resolve.
- Configure, deploy and scale AI products, including tenant and admin configuration, integrations and automation (e.g. M365, Entra ID, Purview/DLP, Azure OpenAI,



connectors and the Power Platform).
- Work with lead Microsoft and vendor engineers to test, validate and roll out new features and models, balancing speed of enablement against security and compliance.
- Review Level 2.5 documentation and knowledge articles for quality and accuracy, and feed corrections back into the knowledge base.
- Train and uplift the Level 2.5 support team; provide deep-dive guidance and escalation paths.
- Own one AI product as point of contact (POC) while maintaining working knowledge of the full portfolio; provide cover for the partner location.
- Drive incident, problem and root-cause analysis for platform reliability; contribute to post-implementation reviews.
- Contribute to the longer-term goal of building an AI agent to automate training, Level 2 and QA activity.
- Deep technical troubleshooting and root-cause analysis across AI and M365 platforms.
- Automation and scripting; ability to build tooling that reduces manual effort.
- Feature and model evaluation; translating vendor releases into safe enterprise rollouts.
- Knowledge-base authoring and mentoring of junior support staff.
- Collaboration across locations with disciplined handover

Good-to-Have:





- Train and uplift the Level 2.5 support team; provide deep-dive guidance and escalation paths.
- Own one AI product as point of contact (POC) while maintaining working knowledge of the full portfolio; provide cover for the partner location.
- Drive incident, problem and root-cause analysis for platform reliability; contribute to post-implementation reviews.
- Contribute to the longer-term goal of building an AI agent to automate training, Level 2 and QA activity.
- Deep technical troubleshooting and root-cause analysis across AI and M365 platforms.
- Automation and scripting; ability to build tooling that reduces manual effort.
- Feature and model evaluation; translating vendor releases into safe enterprise rollouts.
- Knowledge-base authoring and mentoring of junior support staff.
- Collaboration across locations with disciplined handover
- Experience with Grok, claude, chat GPT and Gen AI platform is plus

Essential:

- first point of call for engineering issues across the firm’s end user AI products — Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok and Gemini,
- Investigate complex queries that front-line support cannot resolve, work with lead Microsoft and vendor engineers on new features, and uplift the wider support team
- Each engineer maintains broad coverage of the full portfolio while owning one product as point of contact
- To Manage client expectations and PE requirement gathering
- Collaboration across locations with disciplined handover.

Minimum Qualification:

- 15 years of full-time education with minimum 50%

📌 AI - LLM ProductsEngineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru