AI/ML Architect

<p style="line-height:18.0pt;background:white;">Seeking a highly experienced <strong>Senior AI/ML Architect</strong> with over 12 years of professional experience to lead the design and development of our next-generation conversational AI platforms</p><div>&nbsp;The ideal candidate will be a visionary in the field, possessing deep expertise in <strong>Text-to-SQL</strong> technologies and a proven track record of architecting scalable, enterprise-grade chatbot solutions.</div><div><br></div><p style="line-height:18.0pt;background:white;"><strong>Core Responsibilities</strong></p><ul style="margin-top:0in;" type="disc"><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Architectural Leadership</strong>: Design end-to-end conversational AI architectures, integrating LLMs with enterprise data sources using <strong>Text-to-SQL</strong> and RAG (Retrieval-Augmented Generation) frameworks.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Text-to-SQL Development</strong>: Build and optimize high-accuracy Natural Language to SQL engines that enable non-technical users to query complex relational databases through chat interfaces.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>System Integration</strong>: Connect AI models (OpenAI, Hugging Face) with internal databases, APIs, and cloud services (AWS, Azure, or GCP) ensuring scalability and security.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Performance Optimization</strong>: Oversee the fine-tuning of Large Language Models (LLMs) and the optimization of prompt engineering strategies to improve system accuracy and response latency.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Cross-Functional Collaboration</strong>: Partner with business leaders and engineering teams to translate complex AI concepts into actionable product features and business insights.</li></ul><p style="line-height:18.0pt;background:white;"><strong>Required Qualifications &amp; Skills</strong></p><ul style="margin-top:0in;" type="disc"><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Experience</strong>: Minimum <strong>12+ years</strong> of total experience in software engineering, with at least 5-6 years focused on <strong>AI/ML and Natural Language Processing (NLP)</strong>.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Technical Expertise</strong>:<ul style="margin-top:0in;" type="circle"><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;">Expert-level proficiency in <strong>Python</strong> and advanced <strong>SQL</strong>.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;">Deep understanding of <strong>Generative AI</strong>, Transformers, and LLM orchestration tools like LangChain or LlamaIndex.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;">Proven experience with deep learning frameworks such as <strong>PyTorch</strong> or <strong>TensorFlow</strong>.</li></ul></li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Database &amp; Data Engineering</strong>: Strong background in relational databases (PostgreSQL, SQL Server) and NoSQL/Graph databases for managing large-scale data streams.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Cloud Platforms</strong>: Hands-on experience with cloud AI services like AWS SageMaker or Google Cloud AI.</li><li style="color:#0A0A0A;line-height:18.0pt; background:white;list-style-position:outside;"><strong>Education</strong>: Bachelor’s or Master’s degree in Computer Science, AI, or a related field.</li></ul><p style="margin-left:.5in;line-height:18.0pt;background:white;"><br></p>