Skip To Main Content
epam-logo-black.svgepam-logo-black.svg
backBack to Search

Solution Architect – Python with GenAI

Hybrid in India: Bengaluru, & 2 others
Python.ML& 2 others
hotrelocation
Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job
Choose an option

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
  • Between 9 and 14 years of experience in software development, with a strong foundation in solution architecture and system design
  • Advanced Python development skills with a focus on writing production-ready code
  • Skilled in microservices design, architectural patterns, FastAPI, Redis, Elasticsearch, and Kafka
  • Substantial background building GenAI applications, covering Agents, MCP, RAG, Agentic RAG, and GraphRAG
  • Strong familiarity with LangGraph, LangChain, and related orchestration tools
  • Hands-on background in evaluating LLMs and RAG systems, along with managing prompts
  • Demonstrated success in delivering scalable GenAI applications ready for production environments
  • Working experience with cloud ecosystems such as AWS, Azure, or GCP
  • Comfortable with containerization tools, namely Docker and Kubernetes
  • Familiarity with vector database technologies, including Pinecone, Weaviate, or Chroma
  • Solid grasp of LLMOps principles and associated monitoring solutions
  • Strong leadership capabilities suited to directing engineering teams
  • Capacity to thrive in client-facing settings while working collaboratively
  • Solid English communication skills, both written and spoken, at B2 level or above
Nice to have
  • Experience in conventional machine learning practices, including feature engineering, model training, and evaluation methods
  • Familiarity with knowledge graphs along with fine-tuning approaches
  • Previous background in consulting positions or client-facing capacities