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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)