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Lead/Principal AI Technical Architect

  • Source: Naukri
  • Virtusa
  • Hybrid
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Role Overview

You will serve as a Lead/Principal AI Technical Architect at Virtusa. Your primary mission is to design the technical blueprint for core platforms, with a heavy focus on scaling AI, Generative AI, and autonomous AI agents across high-volume data systems safely, securely, and cost-effectively.

Key Responsibilities

  • Design Technical Architecture: Create high-level technical blueprints, component standards, and integration patterns for Virtusa’s platforms to guide engineering teams.
  • Build the AI Strategy: Architect how AI, Generative AI, and multi-agent systems are builtincluding RAG (Retrieval-Augmented Generation), agent workflows, memory systems, and human-in-the-loop safety.
  • Establish Standards & Safety: Define technical guidelines for security, privacy, data governance, and Responsible AI (guardrails, cost tracking, access control, and auditing).
  • Evaluate & Innovate: Run Proofs of Concept (PoCs) to test new technologies (e.g., vector databases, LLM models, frameworks) and guide “build vs. buy” decisions.
  • Lead & Mentor: Provide technical leadership, conduct design reviews, and ensure consistent, high-quality engineering practices across development teams.

Core Qualifications

  • Background: 8+ years in software engineering, application development, or technical architecture for distributed systems.
  • Data Scale: Experience with enterprise-scale systems and multi-terabyte database environments (relational and non-relational).
  • Cloud Expertise: Deep knowledge of cloud platforms—specifically Microsoft Azure (Azure OpenAI, Azure AI Foundry, security, networking).
  • GenAI & Agent Systems: Hands-on experience with LLMs, vector search, RAG, prompt engineering, and agentic frameworks (e.g., Semantic Kernel, AutoGen, Model Context Protocol).
  • Governance & Security: Experience with AI threat modeling, evaluation metrics (accuracy, latency, groundedness), and Responsible AI patterns.
  • Communication: Ability to translate complex technical architectures into clear guidance for both technical engineering teams and non-technical stakeholders.

Skills

  • guardrails
  • microsoft-azure

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