AI Architect
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-10-17
Listing for:
Virtusa
Full Time
position Listed on 2026-10-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Python, Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
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, Tensor Flow, 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
- 10-15
Years
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