We are looking for an Enterprise Data Architect to own how Generative AI capabilities are designed, structured, and scaled across the enterprise. This role defines how data, knowledge, and large language models (LLM) come together to power AI-driven interactions across customer experiences, internal tools, and business workflows. You will shape how information flows across the organization and how AI systems access, interpret, and apply that information. This includes defining how structured data and unstructured knowledge are prepared, indexed, and retrieved to support reliable, high-quality outputs. This is a strategic architecture role with direct influence on how systems are built. You will set architectural direction, make key design decisions, and guide engineering and platform teams to ensure a consistent and scalable approach. What You Will Do • Define the architectural strategy for Generative AI, LLM, and AI platform capabilities across the enterprise • Shape how enterprise data, knowledge, and metadata are structured and accessed for AI-driven use cases • Establish patterns for how data flows across ingestion, transformation, indexing, embeddings, and retrieval • Guide how AI systems handle ambiguity, variability, and non-deterministic behavior • Influence how models, data sources, APIs, and workflows are orchestrated into scalable systems • Establish how AI systems are evaluated, observed, and operated in production, including output quality, system behavior, and reliability What You Will Bring • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field • 10+ years of experience in data architecture, AI/ML systems, or distributed platform design • Experience setting architectural direction and influencing system design across teams • Strong background in data modeling, data pipelines, and large-scale data systems • Understanding of retrieval, search, and indexing systems, along with Generative AI architectures including LLMs, embeddings, RAG, tool-calling agents, API integration, human-in-the-loop approvals, agent identity, multi-agent patterns, MCP and A2A-style integrations, and controlled autonomy • Experience with modern data and cloud platforms, especially AWS and Snowflake, including Bedrock, vector databases, hybrid search, APIs, event-driven architecture, IAM, observability, CI/CD, infrastructure as code, and model selection across LLMs, SLMs, and multimodal models • Ability to design systems that balance scalability, performance, cost, and operational complexity What You Will Set You Apart • Experience architecting or scaling Generative AI or LLM-based systems in production environments • Depth in information retrieval, semantic search, or knowledge-based architectures • Experience designing systems where AI outputs directly influence user decisions, workflows, or downstream actions • Strong intuition for how data structure, context selection, and retrieval design impact AI output quality and reliability • Practical understanding of system failure modes and how to design safeguards for non-deterministic behavior • Recognized expertise through targeted certifications in AWS, Snowflake, or applied machine learning, with exposure to Generative AI platforms such as AWS Bedrock or similar Work Environment & Disclaimer This job operates in a professional office environment. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. • Medical, dental, vision and life insurance • Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time - 16 hours per calendar year • Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $151,800.00 - $220,050.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.