AI Enterprise Architect Lead

Zoox
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$203,000.0 - $255,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Databases Information Engineering Python (Programming Language) Software Engineering Large Language Models Generative AI AI Platforms Deployment Automation Data Analytics
+2 more
GPT Automation Anywhere

Job 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.

Requirements

  • 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.”

Benefits & conditions

$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 candidate’s 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · WWC 2024

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · WWC 2025

Videos

See all

Related articles

See all