Data science/AI Architect

Addison, Texas 75001 Posted September 10th, 2026 Job Type: Full Time Job Category: IT Job Description Role: Data science/AI Architect Location: Addison, TX (ONSITE) Exp: 12+ years Full Time Must Have Technical/Functional Skills Primary Skill: Data science, architecture, genAI architecture Secondary: Python, communication Experience: 10+ years Roles & Responsibilities Required Experience & Technical Skills · 8+ years of software/solution architecture experience, including 3+ years in AI/ML or Generative AI. · Hands-on experience with LLMs, embeddings, and vector search technologies (OpenAI, Hugging Face, Llama, Elasticsearch). · Strong Python development skills, including Fast API and Lang Chain. · Experience with GPU optimization, cloud-native deployments, and ML Ops practices. · Excellent communication and presentation skills, including presenting to executive leadership. Education & Professional Attributes · Master’s degree in computer science, Data Science, or a related technical discipline. · Experience collaborating with diverse business and technology stakeholders across multiple Lines of Business. · Highly motivated self-starter with strong ownership and ability to execute independently. · Strong critical thinking and problem-solving capabilities. · Ability to navigate enterprise data assets across multiple functions. · Highly organized with the ability to manage multiple priorities in a fast-paced environment. · Strong analytical and customer-focused mindset. Key Responsibilities · Design and scale enterprise-grade Document AI platforms for the financial services industry. · Lead architecture for document classification, data extraction, and Retrieval-Augmented Generation (RAG) solutions. · Architect GenAI solutions for large-scale document processing, extraction, and question-answering. · Build and optimize RAG pipelines using embeddings, vector databases, rerankers, and LLMs. · Partner with infrastructure teams to deploy AI solutions on GPU clusters using technologies such as vLLM and Triton. · Drive model risk management, explainability, auditability, and evaluation frameworks. · Create architecture diagrams, technical documentation, and executive-level presentations. · Collaborate closely with engineering, product, and compliance teams to deliver secure, scalable AI solutions. Required Skills Performance Architect