We're growing our team and looking to add a Solution Architect who specializes in Python and Generative AI, tasked with designing and delivering enterprise-scale GenAI solutions suited for live production environments. Joining our Solution Architecture unit, you'll take the lead on technical investigation work, build out reusable toolkits, and help establish guidelines for LLM-driven applications. Apply today to become part of innovative GenAI projects and help drive transformative results for our clients.
Responsibilities
• Construct comprehensive GenAI architectures, encompassing RAG structures, Agents, and Multi-Agent setups, designed specifically for large enterprise clients
• Create reusable accelerator tools and reference models to standardize how solutions get delivered
• Run technical discovery workshops and provide hands-on assistance directly to engineering teams
• Set up evaluation frameworks and establish guidelines governing the development of large language model (LLM) applications
• Partner with wide-ranging teams to ensure system architectures are built to scale properly and stay maintainable over time
• Design microservices architecture using proven patterns and up-to-date frameworks
• Direct the integration of cloud infrastructure components spanning platforms such as AWS, Azure, or GCP
• Take charge of containerization and orchestration tasks using Docker and Kubernetes
• Weigh options and select appropriate vector database platforms, including Pinecone, Weaviate, or Chroma, to support GenAI initiatives
• Apply LLMOps approaches and monitoring frameworks to improve production deployment outcomes
• Contribute to prompt management efforts and RAG evaluation work to increase application accuracy
• Engage in mentorship activities and share expertise throughout the wider architecture team
• Uphold rigorous production-quality coding standards within Python-based applications
• Champion continual improvements in system architecture and the scalability of sol