AI Architect

EPAM Systems India Pvt Ltd; India; On-site; INR 450,000 - 750,000; Full time

Job summary

EPAM Systems India Pvt Ltd seeks an AI Architect to design and rollout generative AI solutions built on advanced tooling and cloud infrastructure. You will work closely with engineering teams to develop, refine, and launch AI models while ensuring performance, security, and governance requirements.

With 12+ years in AI/ML and at least 2 years in generative AI/LLMs, you will apply deep learning techniques (LSTM, CNN, VAE) and hands-on tooling (LangChain, LlamaIndex, Hugging Face transformers).

Qualifications

• 12+ years of AI/ML experience.
• 2+ years in generative AI and LLMs.
• Solid grounding in conventional AI and machine learning approaches.
• Deep learning techniques: LSTM, CNN, VAE.
• Hands-on tooling: LangChain, LlamaIndex, Hugging Face transformers.
• Vector DBs: FAISS, Qdrant.
• Cloud platforms: AWS, Azure, GCP.
• MLOps and production-ready AI models.
• Strong coding abilities; cross-team collaboration.

Responsibilities

• Architect scalable generative AI systems.
• Build and deploy LLMs and agentic frameworks.
• Tune models for production readiness.
• Collaborate with engineering to embed AI into solutions.
• Ensure security and governance alignment.
• Develop retrieval-augmented generation and vector DBs.
• Oversee MLOps pipelines across the AI lifecycle.
• Advance AI tooling and frameworks through refinement.
• Provide technical AI guidance across teams.

Skills

Problem-solving mindset

Team collaboration

Coding skills

Production ML/DL experience

Generative AI experience

Tools

LangChain

LlamaIndex

Hugging Face transformers

FAISS

Qdrant

AWS

Azure

GCP

Job description

Step into the role of AI Architect, where you'll drive the design and rollout of generative AI solutions built on advanced tooling and cloud infrastructure. Working in close partnership with engineering teams, you'll develop, refine, and launch AI models while making sure they satisfy performance, security, and governance requirements. If your background includes solid AI expertise combined with genuine enthusiasm for generative technology innovation, we'd love to hear from you.

Responsibilities

• Create and architect generative AI systems built to scale effectively
• Construct and launch large language models along with agentic system frameworks
• Tune and assess AI and generative AI models to ensure production readiness
• Partner with engineering teams to embed AI capabilities into broader solutions
• Maintain alignment with security protocols and governance standards
• Build out retrieval-augmented generation approaches and vector database implementations
• Oversee MLOps pipelines that support the full AI system lifecycle
• Help advance AI frameworks and tooling through continuous refinement
• Provide technical AI guidance to teams across different functions

Requirements

• Over 12 years of substantial experience spanning AI and machine learning
• A minimum of 2 years focused specifically on generative AI and large language models
• Solid grounding in conventional AI and machine learning approaches
• Strong command of deep learning techniques, including LSTM, CNN, and VAE
• Hands-on experience with generative AI tooling, such as LangChain, LlamaIndex, and Hugging Face transformers
• Working knowledge of vector database solutions like FAISS and Qdrant
• Background working with cloud-based AI platforms, including AWS, Azure, and GCP
• Solid capability in MLOps practices and bringing AI models into production
• Strong coding abilities paired with familiarity in AI evaluation tools such as RAGAS and DeepEval
• A problem-solving mindset combined with the ability to collaborate effectively across teams