EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
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Design and implement scalable architectures for Generative AI solutions using state-of-the-art tools and cloud platforms
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Develop, fine-tune, and productionize Generative AI and traditional AI/ML models, ensuring optimal performance and stability
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Ensure compliance with governance, security, and ethical AI standards in model development and deployment
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Collaborate with cross-functional engineering teams to deliver seamless and robust AI solutions
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Optimize model performance through effective evaluation methods, leveraging tools like RAGAS and DeepEval
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Integrate vector databases such as FAISS and Qdrant into AI pipelines to enhance information retrieval and storage
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Utilize cloud AI platforms, including AWS, GCP, or Azure, to build scalable solutions
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Apply MLOps practices to streamline development and deployment workflows
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Leverage Generative AI tools including LangChain, LlamaIndex, Hugging Face, PEFT, LoRA, QLoRA, and RAG pipelines for advanced solution-building
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Provide expertise on traditional deep learning methods including LSTM, CNN, and VAE
Requirements
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12+ years of experience in AI/ML with at least 2 years specializing in Generative AI, LLMs, and agentic systems
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Expertise in neural network architectures such as LSTM, CNN, and VAE
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Proficiency in advanced GenAI tools such as LangChain, LlamaIndex, and Hugging Face
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Skills in leveraging PEFT, LoRA, QLoRA, and RAG pipelines
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Familiarity with vector databases including FAISS and Qdrant
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Proficiency in cloud AI platforms such as AWS, Azure, and GCP, with a solid understanding of MLOps practices
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Knowledge of AI evaluation frameworks such as RAGAS and DeepEval
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Strong coding expertise and a proven problem-solving mindset
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Flexibility to work effectively in cross-functional engineering environments
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English proficiency at B2 level or higher
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
