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Wissen Logo Wissen · IT - Software Development

Generative AI Architect

India, Bangalore South · Job Posted April 20, 2026
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Job Description

We are looking for an experienced Generative AI Architect with 8–10 years of experience to design and implement enterprise-grade AI solutions. The role involves architecting and developing advanced systems in Generative AI, NLP, Computer Vision, and cloud-native AI platforms such as Amazon Bedrock and Google Vertex AI. The ideal candidate will have strong hands-on development skills, deep architectural expertise, and the ability to lead strategic AI initiatives across digital transformation, automation, and intelligent document processing.

Job Responsibility

  • Architect and deliver end-to-end Generative AI solutions for enterprise applications
  • Build and deploy Computer Vision systems for document understanding, object detection, and visual analytics
  • Develop and optimize LLM and NLP applications including chatbots, summarization engines, knowledge assistants, and intelligent search
  • Implement RAG pipelines using vector databases and embedding models
  • Architect scalable, secure AI systems on AWS and Google Cloud, leveraging Amazon Bedrock and Vertex AI
  • Design and manage Vector Database architectures (Pinecone, Weaviate, Milvus)
  • Build robust AI pipelines, APIs, and microservices for enterprise integrations
  • Lead model training, tuning, evaluation, and prompt engineering processes
  • Ensure production-grade scalability, performance, and security of AI systems
  • Collaborate with cross-functional teams (data scientists, ML engineers, product teams)
  • Mentor junior engineers and drive technical discussions with clients
  • Work independently with minimal supervision while leading critical project initiatives

Requirements

  • 8–10 years of experience in AI/ML, software engineering, or data science
  • Strong hands-on experience with Python for AI/ML development
  • Expertise in Computer Vision frameworks (OpenCV, TensorFlow, PyTorch)
  • Strong understanding of NLP and Large Language Models (LLMs)
  • Practical experience implementing RAG architectures, prompt engineering, and LLM orchestration (LangChain, LlamaIndex)
  • Hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus)
  • Experience deploying AI solutions on AWS or Google Cloud
  • Familiarity with Docker, Kubernetes, and cloud-native MLOps workflows
  • Experience designing scalable APIs and microservices architectures

Nice to have

  • Experience with enterprise document processing and intelligent automation solutions
  • Prior experience integrating Generative AI with enterprise knowledge bases and workflows
  • Exposure to MLOps pipelines, CI/CD, and model governance frameworks
  • Domain experience in BFSI, Retail, Enterprise Automation, or similar industries
  • Knowledge of Responsible AI, data privacy, and ethical AI implementation
  • Familiarity with monitoring and observability tools for AI model lifecycle management
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