Our expanding team is on the lookout for a Solution Architect focused on Python and Generative AI, responsible for engineering and delivering enterprise-caliber GenAI solutions built to perform in live production settings. As a member of our Solution Architecture team, you'll direct technical research initiatives, produce reusable tools, and help define standards for applications built around LLMs. Send in your application now to be part of pioneering GenAI work and support clients in reaching game-changing results.
Responsibilities
Design full-scale GenAI architecture solutions, including RAG models, Agents, and Multi-Agent frameworks, built for large-scale enterprise use
Produce reusable accelerator components and reference architectures to bring uniformity to solution delivery
Lead technical discovery sessions and deliver direct, practical support to engineering teams
Build evaluation frameworks and define standards that shape how LLM applications are developed




Collaborate with a range of teams to ensure architectural designs scale appropriately and remain sustainable long-term
Develop microservices-based systems by applying established patterns and current-generation frameworks
Guide the integration of cloud infrastructure elements across settings like AWS, Azure, or GCP
Manage container-based deployment and orchestration efforts through Docker and Kubernetes
Evaluate and pick suitable vector database options, such as Pinecone, Weaviate, or Chroma, for supporting GenAI projects
Implement LLMOps strategies and monitoring tools to strengthen the quality of production rollouts
Support prompt engineering and RAG evaluation activities aimed at improving application reliability
Participate in mentoring initiatives and contribute knowledge across the architecture function
Enforce solid coding standards for production-level Python development
Lead efforts toward ongoing refinement of system architecture and solution scalability

Requirem

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