AI Architect

TymblHub; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EPAM Systems in Chennai, India is seeking an AI Architect to design, develop, and deploy Generative AI solutions. You will lead scalable architectures, productionize models, and ensure governance across cloud platforms like AWS, GCP, and Azure.

The role focuses on LLMs, agentic systems, and retrieval-augmented workflows using LangChain, LlamaIndex, and FAISS/Qdrant, with strong emphasis on MLOps practices and scalable deployment.

Qualifications

• 12+ years of AI/ML experience with at least 2 years in Generative AI and LLMs.
• Expertise in neural nets (LSTM, CNN, VAE) and production-grade AI systems.
• Strong knowledge of LangChain, LlamaIndex, and Hugging Face tooling.
• Experience with PEFT/LoRA/QLoRA and RAG pipelines for efficient deployment.

Responsibilities

• Design scalable architectures for Generative AI solutions in the cloud.
• Develop, fine-tune, and productionize AI/ML models with MLOps practices.
• Collaborate with cross-functional teams to deliver robust AI products.
• Integrate vector databases (FAISS, Qdrant) for retrieval-augmented workflows.
• Ensure governance, security, and ethical standards in model development.

Skills

Generative AI

LLMs

MLOps

LangChain

RAG pipelines

FAISS

Qdrant

LoRA

PEFT

Cloud platforms

Tools

LangChain

LlamaIndex

Hugging Face

PEFT

LoRA

QLoRA

RAG pipelines

FAISS

Qdrant

AWS

Azure

GCP

Job description

# AI ArchitectEPAM SystemsPosted on August 19, 2026---Experience7 - 12 yrsJob LocationChennai, IndiaVacancy1DesignationArtificial Intelligence ArchitectJob TypeONSITE---## Job DescriptionWe are seeking a highly skilled **AI Architect** to lead the design, development, and deployment of cutting-edge Generative AI solutions, leveraging the latest tools, frameworks, and cloud platforms to solve complex challenges and drive innovation.Responsibilities* Design and implement scalable architectures for Generative AI solutions using state-of-the-art tools and cloud platforms* Develop, fine-tune, and productionize Generative AI and traditional AI/ML models, ensuring optimal performance and stability* Ensure compliance with governance, security, and ethical AI standards in model development and deployment* Collaborate with cross-functional engineering teams to deliver seamless and robust AI solutions* Optimize model performance through effective evaluation methods, leveraging tools like RAGAS and DeepEval* Integrate vector databases such as FAISS and Qdrant into AI pipelines to enhance information retrieval and storage* Utilize cloud AI platforms, including AWS, GCP, or Azure, to build scalable solutions* Apply MLOps practices to streamline development and deployment workflows* Leverage Generative AI tools including LangChain, LlamaIndex, Hugging Face, PEFT, LoRA, QLoRA, and RAG pipelines for advanced solution-building* Provide expertise on traditional deep learning methods including LSTM, CNN, and VAERequirements* 12+ years of experience in AI/ML with at least 2 years specializing in Generative AI, LLMs, and agentic systems* Expertise in neural network architectures such as LSTM, CNN, and VAE* Proficiency in advanced GenAI tools such as LangChain, LlamaIndex, and Hugging Face* Skills in leveraging PEFT, LoRA, QLoRA, and RAG pipelines* Familiarity with vector databases including FAISS and Qdrant* Proficiency in cloud AI platforms such as AWS, Azure, and GCP, with a solid understanding of MLOps practices* Knowledge of AI evaluation frameworks such as RAGAS and DeepEval* Strong coding expertise and a proven problem-solving mindset* Flexibility to work effectively in cross-functional engineering environments* English proficiency at B2 level or higher