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GenAI Architect @ Accion Labs

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 GenAI Architect

Job Description

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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Solution Architect
Employement Type: Full time

Contact Details:

Company: Accion Labs
Location(s): Pune

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Keyskills:   On-Premise GenAI Architect Ai Solutions RAG pipelines MCP Software Architecture Design Generative Ai Langchain Code Conversion GenAI APIs Generative AI Architect Agentification Pinecone Agentic Ai Open Source AI AI Architect Weaviate OCR Pipelines Python

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