EIM Senior AI Architect

Virtusa Corp

  • Columbus, IN
  • 15 days ago

    Highlights

    The architect will act as a strategic authority and hands-on leader, ensuring consistent, secure, and high-quality AI implementations across client-facing and internal platforms. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure.

    Numbers & Facts

    LocationColumbus, IN

    Description

    Role Overview

    We are seeking experienced AI Architects to join a centralized AI Center of Excellence (CoE), responsible for driving enterprise-wide AI transformation. This role focuses on embedding agentic AI into delivery models and the end-to-end SDLC, while defining governance, standards, and scalable AI frameworks in a highly regulated environment. The architect will act as a strategic authority and hands-on leader, ensuring consistent, secure, and high-quality AI implementations across client-facing and internal platforms.

    Key Responsibilities

    AI-Driven SDLC Transformation

    Design AI-first delivery models across requirements, development, testing, and deployment. Integrate AI agents into DevOps/CI-CD pipelines and define measurable productivity KPIs (cycle time, defect reduction, velocity).

    Agentic AI Architecture

    Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI.

    Define agent patterns (planner-executor, tool-using agents, critic loops) and ensure observability, explainability, and guardrails.

    AI Platform & Framework Development

    Build reusable accelerators, playbooks, and reference architectures. Establish standards for prompt engineering, RAG, model selection, and evaluation. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure.

    Preferred Qualifications

    • Financial services domain experience
    • Experience building internal developer platforms (IDPs)
    • Cloud certifications (AWS/Azure/GCP)
    • Exposure to spec-driven AI development and AI playbooks

    Required Qualifications

    • 12+ years in software engineering/architecture; 5+ years in AI/ML
    • Strong hands-on experience with GenAI, LLMs, and agentic AI systems
    • Expertise in RAG, embeddings, prompt engineering, and evaluation frameworks
    • Experience with distributed systems, APIs, microservices, and Kubernetes
    • Familiarity with MLOps/LLMOps pipelines and cloud AI platforms
    • Experience working in regulated environments (financial services preferred)
    • Strong understanding of AI governance, model risk, and data privacy

    Similar Jobs