AI Solutions Architect

7 days ago

Nellore, Andhra Pradesh, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Solutions Architect

In this pivotal role, you will spearhead the development and integration of cutting-edge AI applications with Large Language Models (LLMs). You will be responsible for designing and implementing LLM pipelines, including prompt engineering, retrieval-augmented generation, fine-tuning, and evaluation.

Key Responsibilities:

  • Lead the development and integration of Python-based applications with LLMs.
  • 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.

Mandatory Skills:

  • 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.

Optional Skills:

  • 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.

About This Role

This position requires a deep understanding of AI/ML concepts, as well as hands-on experience with LLMs. The ideal candidate will have a strong background in software development and a passion for staying up-to-date with the latest AI advancements.

What We Offer

We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.

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