Our team is expanding, and we're bringing on a Solution Architect with deep specialization in Python and Generative AI to build and deliver enterprise-grade GenAI solutions ready for real-world production use. You'll be an integral part of our Solution Architecture group, spearheading technical exploration efforts, crafting reusable frameworks, and shaping standards for LLM-based applications. Submit your application to take part in forward-thinking GenAI initiatives and empower clients to achieve breakthrough outcomes.
Responsibilities
Architect complete GenAI systems, including RAG frameworks, Agents, and Multi-Agent configurations, tailored for enterprise-level clients
Develop reusable accelerators and reference builds to bring consistency to delivery approaches
Facilitate technical discovery workshops while offering direct, practical support to engineering teams
Establish evaluation methodologies and set standards for building large language model (LLM) applications




Work alongside diverse teams to guarantee system designs that scale effectively and remain easy to maintain
Build out microservices-based architectures leveraging established design patterns and contemporary frameworks
Manage the incorporation of cloud infrastructure elements across platforms like AWS, Azure, or GCP
Handle containerization and orchestration processes utilizing Docker and Kubernetes
Assess and choose suitable vector database solutions, such as Pinecone, Weaviate, or Chroma, for GenAI use cases
Deploy LLMOps methodologies and monitoring solutions to fine-tune production-level deployments
Assist with prompt management and RAG evaluation processes to boost application precision
Take part in mentoring efforts and knowledge exchange across the broader architecture team
Maintain high standards of production-ready code quality within Python-based applications
Push forward ongoing enhancements in system architecture and solution scalability

Requirements
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📌 Solution Architect – Python With Genai Bengaluru
🏢 EPAM Systems
📍 Bengaluru