GenAI Architect

4 days ago

Hyderabad Noida South Goa, India Accion Labs Full time US$ 1,50,000 - US$ 2,00,000 per year

Job Title: GenAI Architect

Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs).

Role Overview

We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies.

Key Responsibilities

  • Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search.
  • Design and optimize prompt engineering strategies, fine-tuning approaches, and mitigate hallucinations in AI outputs.
  • Develop robust AI workflows using Python, LangChain, Hugging Face Transformers, and vector databases such as Pinecone or Weaviate.
  • Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI).
  • Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures.
  • Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases.
  • Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes.

Required Skills & Qualifications

  • 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles.
  • Strong expertise in:
  • LLMs and RAG pipelines
  • Prompt engineering, fine-tuning, and hallucination mitigation
  • LangChain, Hugging Face Transformers, Python
  • Vector databases (Pinecone, Weaviate, etc.)
  • Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes.
  • Experience with model evaluation frameworks and industry best practices.
  • Ability to communicate AI strategies and outcomes to non-technical stakeholders.

Preferred Qualifications

  • Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer).
  • Knowledge of domain-specific AI applications (real estate, finance, risk modeling).
  • Exposure to multi-modal GenAI (text, image, document, voice).
  • Contributions to open-source projects, research publications, or patents in AI/ML.

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