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 .