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AI Architect

EPAM Systems


Job Location:

Chennai - India

Monthly Salary: Not provided by the employer
Posted: 9 September 2026 (9 days ago)
Application Deadline: 7 December 2026
Vacancies: 1 Vacancy

Job Summary

We 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 VAE
Requirements
  • 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

Required Experience:

Manager