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AI Architect

Virtusa


Job Location:

Columbus, OH - USA

Monthly Salary: Not provided by the employer
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 8 October 2026
Vacancies: 1 Vacancy

Job Summary

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


Required Experience:

Staff IC


About Company

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At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.

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