AI Architect

Virtusa; Las Vegas (NV); On-site; USD 160,000 - 210,000; Full time

Job summary

Virtusa seeks an experienced AI Architect to design and build agentic AI solutions for CRM and BPM platforms, emphasizing autonomous systems and Google Cloud services. The role collaborates with QA, DevOps, Product Engineering, and Business teams to deliver scalable AI-driven software development, testing, deployment, and operations.

Responsibilities include integrating AI agents with CI/CD pipelines, leveraging Vertex AI, BigQuery, and Cloud Functions, and ensuring governance, security, and

Qualifications

• Agentic AI focus with autonomous systems.
• Experience with ML pipelines and MLOps workflows.
• Strong integration capabilities with CRM/BPM platforms.

Responsibilities

• Architect and design agentic AI systems for CRM/BPM across the SDLC.
• Lead development of autonomous AI agents with reasoning and learning.
• Build and optimize ML pipelines using GCP services (Vertex AI, BigQuery, Cloud Functions).
• Integrate AI agents with CI/CD pipelines and developer tools.
• Collaborate with QA, DevOps, Product Engineering, and Business teams.

Skills

Agentic AI

Generative AI

Large Language Models (LLMs)

Multi-Agent Systems

CI/CD Pipelines

Machine Learning

Software Testing Automation

AgentSpace

Tools

Vertex AI

BigQuery

Cloud Functions

Google Cloud Platform (GCP)

Job description

Job Title AI Architect — Agentic AI Solutions

Role Overview

We are seeking an experienced AI Architect to design and build next-generation agentic AI solutions for CRM and BPM platforms. The ideal candidate will have strong expertise in autonomous AI systems, Google Cloud AI services, software development lifecycle automation, and enterprise application integration.

This role will work closely with QA, DevOps, Product Engineering, and Business Teams to deliver scalable AI-driven solutions that enhance software development, testing, deployment, and operational efficiency.

Key Responsibilities

Architect and design agentic AI systems tailored for CRM and BPM solutions across the Software Development Life Cycle, including requirements management, backlog creation, development, testing, and deployment.

Lead the development of autonomous AI agents capable of reasoning, learning, decision-making, and collaboration throughout the testing and software delivery lifecycle.

Build, deploy, and optimize AI and machine learning pipelines using Google Cloud Platform services such as Vertex AI, BigQuery, and Cloud Functions.

Integrate AI agents with CI/CD pipelines, test management platforms, and developer environments.

Deploy, orchestrate, and manage AI agents using AgentSpace or similar agent management platforms.

Leverage agent lifecycle management, communication frameworks, and scalability capabilities to ensure reliable AI operations.

Collaborate with QA, DevOps, Product Engineering, and Business Teams to align AI capabilities with organizational objectives.

Define and implement best practices for agentic AI development, including governance, security, safety, interpretability, and performance monitoring.

Research and evaluate emerging technologies in Large Language Models (LLMs), Multi-Agent Systems, Autonomous Software Engineering, and Generative AI.

Required Skills And Experience

• Proven experience as an AI Architect, Machine Learning Engineer, or similar role focused on Agentic AI or Autonomous Systems.Vertex AI
• BigQuery
• Cloud Functions
• Google Cloud Platform (GCP)
• Agentic AI
• Generative AI
• Large Language Models (LLMs)
• Multi-Agent Systems
• CI/CD Pipelines
• AgentSpace
• Machine Learning
• Software Testing Automation