Solution Architect - Generative Ai

Airbus India Private Limited

Bengaluru, India
Generative ai architecture design
Retrieval-augmented generation (rag)
Llm, slm, multi-modal model selection
Architect end-to-end GenAI solutions, including model selection, vector database orchestration, and API integration

Job Summary

  • Architect end-to-end GenAI solutions, including model selection, vector database orchestration, and API integration.
  • Design high-performance inference pipelines and determine optimal deployment strategies (Cloud vs. On-prem).
  • Implement 'AI Guardrails' to manage hallucination, data leakage, and prompt injection risks.

Matching Summary

Architect end-to-end GenAI solutions, including model selection, vector database orchestration, and API integration.

Skills & Requirements

Must-have

  • Generative AI architecture design
  • Retrieval-Augmented Generation (RAG)
  • LLM, SLM, Multi-modal model selection
  • Vector database orchestration
  • High-performance inference pipelines
  • Python development
  • FastAPI or Flask experience

Nice-to-have

  • Scalable and ethical AI initiatives
  • AI Guardrails implementation
  • Cost optimization for token usage
  • Agile methodologies and DevOps practices
  • Containerization (Docker, Kubernetes)

Key Requirements

  • 3+ years as Solution Architect with AI/ML exposure
  • Bachelor's or Master's degree in CS, Engineering, AI
  • LangChain framework expertise
  • Gemini, Claude, Llama 3, Mistral model experience
  • AWS Bedrock and Google Vertex AI proficiency
  • Software development lifecycle understanding

Work Rights

Not specified

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