***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

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 AIsystemsare evaluated,observed, andoperatedin production, including outputquality,system behavior, andreliability

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, contextselection, and retrieval design impact AI output quality and reliability

• Practical understanding of system failure modes and how to design safeguards for non-deterministic behavior

• Recognizedexpertisethrough 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 joboperatesin a professional office environment.

This job description is not intended to be an exhaustive list of all duties,responsibilitiesand 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 maybe requiredto perform other duties that are not includedonthis job description. The job description is not a contract for employment, and either you or the employer mayterminateemployment at any time, for any reason, as per terms and conditions of your employment contract.