AI Architect

Virtusa; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Virtusa is seeking an experienced AI/ML architect to design GenAI-enabled solutions in a large enterprise context. You will lead architecture reviews, define standards, and drive scalable deployments across cloud platforms.

Ideal candidates have 8+ years of software and architecture experience, deep Python skills, and hands-on AI/ML work with modern frameworks such as PyTorch/TensorFlow. Strong API and data integration expertise is required.

Qualifications

• 8+ years of software development and architecture experience.
• Hands-on Python proficiency and design-pattern knowledge.
• Experience building enterprise apps, microservices, and APIs.
• Strong AI/ML domain knowledge and GenAI experience.
• Familiarity with MLOps, containerization, and cloud platforms.

Responsibilities

• Lead end-to-end architectural designs for GenAI-enabled systems.
• Define architecture standards, governance, and best practices.
• Evaluate GenAI platforms and ensure scalable, secure deployments.
• Collaborate on API design, data integration, and system performance.

Skills

Python

AI/ML concepts

GenAI

LLMs

RAG

Embeddings

Distributed systems

Microservices

REST APIs

Cloud-native architecture

MLOps

CI/CD

Architectural governance

Design patterns

Data processing

Tools

PyTorch

TensorFlow

Scikit-learn

FastAPI

Flask

Django

Docker

Kubernetes

AWS

Azure

GCP

Job description

Job Requirements

8+ years of experience in software development and technical architecture, with strong hands-on experience in Python.

Job Requirements

• 8+ years of experience in software development and technical architecture, with strong hands-on experience in Python.
• Expert-level knowledge of Python, object-oriented programming, design patterns, data structures, and software engineering principles.
• Strong experience designing enterprise applications, microservices, REST APIs, and distributed systems.
• Strong understanding of AI/ML concepts, algorithms, model lifecycle, model evaluation, and AI/ML application architecture.
• Strong experience in GenAI, LLMs, RAG, embeddings, and vector databases
• Design end-to-end solution architectures embedding Generative AI components (LLMs, RAG pipelines, prompt engineering, AI agents) into core enterprise systems.
• Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native application design.
• Model application, data, and integration architectures to ensure performance, scalability, security, and maintainability.
• Evaluate and select GenAI platforms, frameworks, and tooling based on architectural fit, technical feasibility, and long-term scalability.
• Conduct architecture reviews and technical design assessments to ensure compliance with enterprise design standards
• Hands-on experience with PyTorch, TensorFlow, Scikit-learn, or equivalent AI/ML frameworks.
• Experience with Python frameworks such as FastAPI, Flask, or Django.
• Strong knowledge of SQL, databases, data processing, and data integration.
• Experience designing and deploying solutions on AWS, Azure, or GCP.
• Understanding of MLOps, CI/CD, Docker, Kubernetes, model deployment, and monitoring.
• Experience integrating AI/ML capabilities with enterprise applications using APIs and microservices

Work Experience

• 10-15Years