Technical Architect

Virtusa; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Virtusa is seeking a senior software architect with 8+ years of experience in software development and technical architecture, focusing on Python and GenAI integrations. The role emphasizes enterprise-grade microservices, REST APIs, distributed systems, and cloud deployments across AWS/Azure/GCP.

Strong knowledge of AI/ML concepts, model lifecycle, and MLOps is required. The ideal candidate will lead architecture discussions, enforce governance standards, and design scalable data and integration

Qualifications

• 8+ years of experience in software development and technical architecture.
• Expert-level knowledge of Python and OOP.
• Experience designing enterprise apps, microservices, REST APIs and distributed systems.
• Strong understanding of AI/ML concepts, model lifecycle and evaluation.
• Experience with GenAI, LLMs, RAG, embeddings, and vector DBs.
• Design end-to-end GenAI-infused architectures for core enterprise systems.
• Establish architecture standards, governance for APIs and cloud-native design.
• Model application, data, and integration architectures for performance and security.
• Hands-on with PyTorch, TensorFlow, Scikit-learn and Python web frameworks.
• Experience deploying on AWS/Azure/GCP; knowledge of MLOps, CI/CD, Docker, Kubernetes.

Responsibilities

• Design end-to-end solution architectures embedding Generative AI components into core enterprise systems.
• Establish architecture standards and governance for microservices and APIs.
• Evaluate GenAI platforms and tooling for scalability and feasibility.
• Conduct architecture reviews to ensure compliance with enterprise standards.
• Design data, application, and integration architectures for performance and security.
• Lead deployment and monitoring of AI/ML components in production environments.

Skills

Python

Object-oriented programming

Design patterns

Data structures

Software engineering principles

Enterprise applications

Microservices

REST APIs

Distributed systems

GenAI & AI/ML concepts

LLMs & RAG pipelines

Prompt engineering

MLOps & CI/CD

Docker & Kubernetes

Cloud platforms (AWS/Azure/GCP)

API integration

Tools

PyTorch

TensorFlow

Scikit-learn

FastAPI

Flask

Django

Job description

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