Senior GenAI & Enterprise AI Architect

Virtusa; New York (NY); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

Virtusa seeks a senior software architect with 8+ years of experience in software development and technical architecture, focusing on Python and AI-driven enterprise systems.

You will design end-to-end architectures embedding GenAI components (LLMs, RAG pipelines, embeddings) into core applications, lead architecture reviews, and guide deployment on cloud platforms (AWS/Azure/GCP) with strong governance of microservices and APIs.

Qualifications

• 8+ years of software development and technical architecture experience.
• Expert-level knowledge of Python, OOP, design patterns, data structures, and software engineering principles.
• Strong experience designing enterprise apps, microservices, REST APIs, and distributed systems.
• Strong understanding of AI/ML concepts, algorithms, model lifecycle, evaluation, and AI/ML architecture.
• Strong experience in GenAI, LLMs, RAG, embeddings, and vector databases.
• End-to-end solution architectures embedding GenAI components into core enterprise systems.
• Establish architecture standards, governance for microservices, APIs, and cloud-native design.
• Model application, data, and integration architectures for performance, security, and maintainability.
• Evaluate GenAI platforms/frameworks for fit, feasibility, and scalability.
• Conduct architecture reviews to ensure compliance with enterprise standards.
• Hands-on with PyTorch, TensorFlow, Scikit-learn; experience with FastAPI/Flask/Django.
• Strong SQL, databases, data processing, and data integration.
• Experience deploying on AWS, Azure, or GCP; knowledge of MLOps, CI/CD, Docker, Kubernetes.
• Integrate AI/ML capabilities with enterprise apps via APIs and microservices.

Responsabilités

• Design enterprise architectures leveraging GenAI components (LLMs, RAG pipelines, embeddings).
• Lead architecture reviews and design assessments for cloud-native, scalable systems.
• Evaluate and select GenAI platforms, frameworks, and tooling for long-term viability.
• Collaborate across teams to deploy AI-enabled enterprise applications with secure data flows.

Connaissances

Python

OOP

Design patterns

REST APIs

Distributed systems

GenAI concepts

LLMs

Embeddings

Vector databases

Cloud architecture

CI/CD

Docker/Kubernetes

Outils

PyTorch

TensorFlow

Scikit-learn

FastAPI

Flask

Django

Docker

Kubernetes

AWS

Azure

GCP

Description du poste

Virtusa seeks a senior software architect with 8+ years of experience in software development and technical architecture, focusing on Python and AI-driven enterprise systems.

You will design end-to-end architectures embedding GenAI components (LLMs, RAG pipelines, embeddings) into core applications, lead architecture reviews, and guide deployment on cloud platforms (AWS/Azure/GCP) with strong governance of microservices and APIs.