AI Architect

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

Benefits

Opportunity to work on technical challenges that may impact across geographies

Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

Opportunity to share your ideas on international platforms

Sponsored Tech Talks & Hackathons

Unlimited access to LinkedIn learning solutions

Possibility to relocate to any EPAM office for short and long-term projects

Focused individual development

Benefit package:

• Health benefits
• Retirement benefits
• Paid time off
• Flexible benefits

Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)