Senior AI Solutions Architect

6 days ago

Bellary, Karnataka, India beBeeArtificialIntelligence Full time ₹ 19,31,000 - ₹ 25,12,500
Job Title

 

  • Lead the development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
  • Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
  • Design scalable microservices and APIs for AI features.
  • Collaborate with MLOps teams to deploy and monitor AI models in production.
  • Ensure performance optimization, cost efficiency, and security in LLM workflows.
  • Guide the team on Python best practices, code reviews, and technical problem-solving.
  • Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.

Required Skills and Qualifications
  • Strong proficiency in Python (FastAPI, Flask).
  • Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).
  • Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).
  • Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow, Kubeflow, Langfuse) and deployment on AWS/GCP/Azure.
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.

Benefits

The ideal candidate will have excellent leadership and mentoring abilities, strong problem-solving and analytical skills, effective communication with technical and non-technical stakeholders, ability to work in a fast-paced, evolving AI environment, experience with agentic AI or Model Context Protocol (MCP), background in data pipelines (ETL, streaming data), exposure to AI security & compliance practices, prior work in scalable enterprise AI products.

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