AI Tech Lead

AI Tech Lead

Mandatory Skills

generative ai,Python,AWS,Enterprise Architecture,Agentic Ai,Model Context Protocol (MCP)

Job Description

Enterprise Experience 6 years of experience managing technical IT projects, with a strong emphasis on IT Service Management (ITSM), Application Management Services (AMS), or enterprise software delivery.

Generative AI Competency Proven architectural understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) , and system token optimization.

Integration Expertise Hands-on experience or profound structural knowledge of connecting conversational layers to enterprise backend systems (specifically SAP S/4HANA via APIs, JIRA, and BMC Helix environments).

Protocol & Security Familiarity Conceptual grasp of modern AI connectivity paradigms like Model Context Protocol (MCP), vector databases, and enterprise data masking methodologies.

Framework Orientation Familiarity with global AI governance standards (e.g., NIST AI RMF, ISO/IEC 42001) is highly desirable .

Education Qualificaiton

B-Tech or Equivalent Engineering Degree

Roles & Responsibilities

Key Responsibilities

1. Solution Adoption & Implementation Ownership

Drive AI Adoption Lead the end-to-end adoption roadmap of the enterprise AI solution across multiple projects, platforms, and geographic regions. Proof of Concept to Production Lifecycle Own the execution of complex Generative AI use cases from initial validation to full production deployment, specifically optimizing automated Level 1 (L1) support workflows and Level 0 (L0) automated system remediation infrastructure.

Value Optimization & Metrics Set and actively pursue project-level performance optimization KPIs, focusing on reducing Mean Time to Resolution (MTTR) , maximizing ticket deflection rates, and containing operational support costs .

Use Case Ideation Continuously identify, evaluate, and prioritize high-impact AI opportunities to systematically reduce IT helpdesk workloads and bottlenecks .