AI Enterprise Architect Lead

Zoox Inc

Foster City, CA

JOB DETAILS
SALARY
$203,000–$255,000 Per Year
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Processes, Cloud Computing, Contract Analysis, Cost Control, Data Analysis, Data Science, Enterprise Architecture, Finance, Forecasting, Information Technology & Information Systems, Information/Data Security (InfoSec), Legal, Marketing, Microsoft Windows Azure, Modeling Languages, Privacy Controls, Product Engineering, Product Lifecycle, Production Systems, Project/Program Management, Purchasing/Procurement, Python Programming/Scripting Language, Software Agents, Software Engineering, Supply Chain, Technical Consulting, Technical Leadership
LOCATION
Foster City, CA
POSTED
30+ days ago

AI Enterprise Architect Lead Foster City, CA Information Technology - IT Program Management / Full-time / Hybrid

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Zoox is seeking an AI Solutions Architect who will be the primary driver for the design, development, and deployment of Generative AI (GenAI) and Large Language Model (LLM) solutions. You will work across the enterprise-partnering with Procurement, Legal, Finance, HR, and Marketing-to build intelligent agents and automated workflows that transform how our employees work and how our business makes decisions.

In this role, you will:

  • Lead the development and deployment of AI-powered platforms and tools that enhance productivity across core business functions such as Finance, HR, IT, Marketing, Procurement, and Supply Chain.
  • Identify, evaluate, and implement off-the-shelf AI agents to streamline operations, reduce costs, and accelerate business processes.
  • Architect and deploy enterprise-grade LLM applications (RAG, Fine-tuning, Agentic workflows) to automate complex processes.
  • Act as the technical consultant for non-technical leads in Finance (forecasting), Legal (contract analysis), HR (talent matching), and Marketing (content personalization).
  • Build autonomous AI agents capable of navigating multi-step business tasks with minimal human intervention.
  • Collaborate with the Data Analytics team to ensure all AI deployments adhere to strict data privacy, security, and "responsible AI" standards.
  • Manage the lifecycle of AI products from prompt engineering and model selection (GPT-4, Claude, Llama 3, etc.) to integration with internal APIs and databases.

Qualifications:

  • 5+ years in Data Engineering, Software Engineering, or Data Science, with at least 2+ years of hands-on experience deploying GenAI/LLMs in a production enterprise environment.
  • Deep proficiency in Python and frameworks such as LangChain, LlamaIndex, or AutoGen.
  • Experience with cloud AI services (Azure OpenAI, AWS Bedrock, or Google Vertex AI) and vector databases (Pinecone, Weaviate, or Milvus).
  • Proven ability to translate "business pain" into "technical requirements." You need to speak "Legal" and "Finance" as fluently as you speak "Python."

$203,000 - $255,000 a year Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidates relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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About the Company

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Zoox Inc