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.
Our growing organization needs a Solution Architect with expertise in Python and Generative AI to engineer and roll out enterprise-level GenAI solutions capable of operating reliably in production. Within our Solution Architecture team, you'll steer technical exploration projects, develop reusable building blocks, and contribute to shaping standards for LLM-powered applications. Submit your application now to join forward-looking GenAI initiatives and help clients realize meaningful, transformative outcomes.
Responsibilities
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Develop end-to-end GenAI architecture solutions, covering RAG approaches, Agents, and Multi-Agent designs, tailored to large enterprise needs
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Build reusable accelerator assets and reference solutions to create consistency across delivery
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Head up technical discovery meetings and give practical, on-the-ground support to engineering teams
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Establish evaluation frameworks and outline standards guiding the creation of LLM-based applications
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Work with multiple teams to confirm that architectural approaches remain scalable and manageable over the long haul
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Engineer microservices systems by drawing on recognized patterns and modern technology frameworks
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Oversee integration efforts tied to cloud infrastructure across platforms such as AWS, Azure, or GCP
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Handle container deployment and orchestration responsibilities via Docker and Kubernetes
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Assess and determine fitting vector database technologies, like Pinecone, Weaviate, or Chroma, to power GenAI solutions
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Roll out LLMOps techniques and monitoring systems to elevate the quality of production releases
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Aid in prompt engineering work and RAG evaluation to strengthen application dependability
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Take part in mentoring programs and share insights across the architecture community
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Maintain rigorous coding practices for Python applications intended for production use
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Guide ongoing efforts to enhance system architecture design and solution scalability
Requirements
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Experience spanning 9 to 14 years in software development, with strong expertise in solution architecture and system design
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Advanced Python capabilities focused on writing code fit for production environments
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Skill set covering microservices architecture, design patterns, FastAPI, Redis, Elasticsearch, and Kafka
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Deep hands-on experience creating GenAI applications, including Agents, MCP, RAG, Agentic RAG, and GraphRAG
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Strong knowledge of LangGraph, LangChain, and other orchestration technologies
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Practical background evaluating LLMs and RAG frameworks, along with handling prompt management tasks
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Proven capability delivering GenAI applications that scale effectively in production
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Direct experience with cloud environments, including AWS, Azure, or GCP
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Familiarity with containerization approaches, particularly Docker and Kubernetes
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Understanding of vector database platforms, such as Pinecone, Weaviate, or Chroma
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Solid comprehension of LLMOps principles and the monitoring tools tied to them
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Strong leadership abilities appropriate for directing engineering teams
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Capability to work in client-facing scenarios while collaborating effectively with teams
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Solid English language skills, both spoken and written, at a B2 level or higher
Nice to have
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Experience with conventional machine learning techniques, including feature engineering, model training, and evaluation
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Familiarity with knowledge graph principles and fine-tuning strategies
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Previous exposure to consulting work or roles centered on direct client interaction
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.)
