Solution Architect

Required Skills & Qualifications

• 11+ years of overall software engineering experience, including significant time in

  solution or system architecture roles

  .
• Strong expertise in

  Python

  with hands-on experience building production systems.
• Proven experience designing and developing APIs using

  FastAPI

  .
• Strong understanding and practical experience with

  Generative AI

  , including:
• Large Language Models (LLMs)
  
• Prompt engineering and orchestration
  
• Embeddings and vector databases
  
• Model integration via APIs (OpenAI, Azure OpenAI, or similar platforms)
  
• Experience designing

  microservices

  and

  event-driven architectures

  .
• Strong knowledge of

  RESTful APIs

  , authentication, and authorization mechanisms.
• Experience with relational and NoSQL databases.
  
• Proficiency with cloud platforms such as

  AWS, Azure, or GCP

  .
• Strong understanding of

  Docker

  , container orchestration, and CI/CD pipelines.
• Excellent problem-solving, analytical, and decision-making skills.
  
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  

Good to Have

• Experience with

  LangChain, LlamaIndex

  , or similar GenAI orchestration frameworks.
• Hands-on exposure to

  vector databases

  (Pinecone, FAISS, Milvus, Weaviate, etc.).
• Knowledge of

  MLOps

  concepts and AI model lifecycle management.
• Experience with

  observability, monitoring, and logging

  tools.
• Exposure to regulated or large-scale enterprise environments.