AI/ML Architect

Seeking a highly experienced Senior AI/ML Architect with over 12 years of professional experience to lead the design and development of our next-generation conversational AI platforms

The ideal candidate will be a visionary in the field, possessing deep expertise in Text-to-SQL technologies and a proven track record of architecting scalable, enterprise-grade chatbot solutions.

Core Responsibilities

• Architectural Leadership : Design end-to-end conversational AI architectures, integrating LLMs with enterprise data sources using Text-to-SQL and RAG (Retrieval-Augmented Generation) frameworks.
• Text-to-SQL Development : Build and optimize high-accuracy Natural Language to SQL engines that enable non-technical users to query complex relational databases through chat interfaces.
• System Integration : Connect AI models (OpenAI, Hugging Face) with internal databases, APIs, and cloud services (AWS, Azure, or GCP) ensuring scalability and security.
• Performance Optimization : Oversee the fine-tuning of Large Language Models (LLMs) and the optimization of prompt engineering strategies to improve system accuracy and response latency.
• Cross-Functional Collaboration : Partner with business leaders and engineering teams to translate complex AI concepts into actionable product features and business insights.

Required Qualifications Skills

• Experience : Minimum 12+ years of total experience in software engineering, with at least 5-6 years focused on AI/ML and Natural Language Processing (NLP) .
• Technical Expertise :
  • Expert-level proficiency in Python and advanced SQL .
  • Deep understanding of Generative AI , Transformers, and LLM orchestration tools like LangChain or LlamaIndex.
  • Proven experience with deep learning frameworks such as PyTorch or TensorFlow .
• Database Data Engineering : Strong background in relational databases (PostgreSQL, SQL Server) and NoSQL/Graph databases for managing large-scale data streams.
• Cloud Platforms : Hands-on experience with cloud AI services like AWS SageMaker or Google Cloud AI.
• Education : Bachelor s or Master s degree in Computer Science, AI, or a related field.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.