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AI Enterprise Architect Lead

Zoox · Foster City, CA · Hybrid · Active · $190,000–$277,000 / year · Lever

Job facts

FieldValue
CompanyZoox
TitleAI Enterprise Architect Lead
Normalized title-
Department / teamInformation Technology and Applications / ITA PMO
LocationFoster City, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$190,000–$277,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-03-23 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Zoox.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Foster City.Open
Department jobsActive postings in Information Technology and Applications.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyZoox
Source45f1a12e-419b-4b96-93be-f479c9356a1b
ATS providerLever

Description

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: 8+ 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 (AWS Bedrock, or Google Vertex AI) and vector databases (Pinecone, Weaviate, Milvus or OpenSearch). Experience building agents and AI workflows. Proven ability to translate "business pain" into "technical requirements." You need to speak "Legal" and "Finance" as fluently as you speak "Python."

Full job record

Job ID503ea2bddf4543869d94be52874476f212feb08e
Org ID518be277-8ec5-4735-b0ad-193a2bc397c7
Source ID45f1a12e-419b-4b96-93be-f479c9356a1b
Board ID45f1a12e-419b-4b96-93be-f479c9356a1b
Providerlever
Provider Job Keya8097f44-025a-47f5-a2c9-183fb50782ab
TitleAI Enterprise Architect Lead
Normalized Title
Statusactive
Activeyes
Location TextFoster City, CA
DepartmentInformation Technology and Applications
TeamITA PMO
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityFoster City
Salary RawUSD 190000-277000 per-year-salary
Salary Min190,000
Salary Max277,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/zoox/a8097f44-025a-47f5-a2c9-183fb50782ab
Apply URLhttps://jobs.lever.co/zoox/a8097f44-025a-47f5-a2c9-183fb50782ab/apply
First Seen At2026-05-29 06:58:06Z
Last Seen At2026-06-06 20:04:34Z
Last Checked At2026-06-06 20:04:34Z
Last Changed At2026-06-06 07:55:46Z
Inactive At
Source Posted At2026-03-23 16:48:48Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=zoox/date=2026-06-06/2026-06-06T20-04-33-960Z-dbc899b7b70bd68deef4fecc07510b625903b1c9c1b990b1843279904e7d9bc6.json
Event Fields
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  "last_changed_at": "2026-06-06T07:55:46.031Z",
  "active_status": "active"
}
Parsed Structured
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    "country": "United States",
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  "inferred_at": "2026-06-06T20:04:34.748Z",
  "launch_scope": {
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    "location": {
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  "salary_period": "year",
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  "salary_currency": "USD"
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Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "In this role, you will: ",
      "content": "<div>\n\n<li>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.</li>\n<li>Identify, evaluate, and implement off-the-shelf AI agents to streamline operations, reduce costs, and accelerate business processes.</li>\n<li>Architect and deploy enterprise-grade LLM applications (RAG, Fine-tuning, Agentic workflows) to automate complex processes.</li>\n<li>Act as the technical consultant for non-technical leads in Finance (forecasting), Legal (contract analysis), HR (talent matching), and Marketing (content personalization).</li>\n<li>Build autonomous AI agents capable of navigating multi-step business tasks with minimal human intervention.</li>\n<li>Collaborate with the Data Analytics team to ensure all AI deployments adhere to strict data privacy, security, and \"responsible AI\" standards.</li>\n<li>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.</li>\n\n</div>"
    },
    {
      "text": "Qualifications:",
      "content": "<div>\n\n<li>8+ 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.</li>\n<li>Deep proficiency in Python and frameworks such as LangChain, LlamaIndex, or AutoGen.</li>\n<li>Experience with cloud AI services (AWS Bedrock, or Google Vertex AI) and vector databases (Pinecone, Weaviate, Milvus or OpenSearch).</li>\n<li>Experience building agents and AI workflows.</li>\n<li>Proven ability to translate \"business pain\" into \"technical requirements.\" You need to speak \"Legal\" and \"Finance\" as fluently as you speak \"Python.\"</li>\n\n</div>"
    }
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  "country": "US",
  "createdAt": 1774284528375,
  "updatedAt": null,
  "categories": {
    "team": "ITA PMO",
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    "commitment": "Full-time",
    "department": "Information Technology and Applications",
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  "salaryRange": {
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    "min": 190000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}
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