Job Description

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; strong 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: