AI Architect

EPAM Systems; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

EPAM Systems is hiring an AI Architect to lead the design and implementation of generative AI solutions in India. This role involves developing and deploying AI models, collaborating with engineering teams, and ensuring compliance with various standards.

The ideal candidate will have over 12 years of experience in AI, with a strong focus on generative technologies, deep learning methods, and proficiency in cloud AI platforms. We encourage you to apply if you're passionate about innovation in AI.

Qualifications

• 12+ years of experience in AI and machine learning.
• At least 2 years specialized in generative AI and large language models.
• Strong programming skills with a problem-solving orientation.

Responsibilities

• Design and develop scalable generative AI architectures.
• Build and deploy large language models and agentic systems.
• Fine-tune and evaluate AI models for production.
• Collaborate with engineering teams to integrate AI solutions.
• Ensure compliance with security and governance policies.

Skills

AI and machine learning expertise

Generative AI and large language models

Deep learning methods (LSTM, CNN, VAE)

Proficiency with generative AI frameworks

Cloud AI platforms (AWS, Azure, GCP)

MLOps and AI model productionization experience

Strong programming skills

Tools

LangChain

LlamaIndex

Hugging Face transformers

FAISS

Qdrant

Job description

Overview

Join our team as an AI Architect, where you will lead the design and implementation of generative AI solutions using advanced tools and cloud platforms. You will work closely with engineering teams to develop, fine‑tune, and deploy AI models while ensuring they meet performance, security, and governance standards. If you have a strong background in AI and a passion for innovative generative technologies, we encourage you to apply.

Responsibilities

• Design and develop scalable generative AI architectures.
• Build and deploy large language models and agentic systems.
• Fine‑tune and evaluate AI and generative AI models for production.
• Collaborate with engineering teams to integrate AI solutions.
• Ensure compliance with security and governance policies.
• Implement retrieval‑augmented generation and vector database solutions.
• Manage MLOps pipelines for AI system lifecycle.
• Contribute to continuous improvement of AI frameworks and tools.
• Support cross‑functional teams with AI technical expertise.

Requirements

• Extensive experience in AI and machine learning, exceeding 12 years.
• Specialized experience of at least 2 years with generative AI and large language models.
• Background in traditional AI and machine learning techniques.
• Expertise in deep learning methods such as LSTM, CNN, and VAE.
• Proficiency with generative AI frameworks including LangChain, LlamaIndex, and Hugging Face transformers.
• Familiarity with vector databases like FAISS and Qdrant.
• Experience with cloud AI platforms including AWS, Azure, and GCP.
• Competency in MLOps and AI model productionization.
• Strong programming skills and knowledge of AI evaluation frameworks such as RAGAS and DeepEval.
• Problem‑solving orientation with effective cross‑team collaboration.