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."
Skills Required
- 5+ years in Data Engineering, Software Engineering, or Data Science
- 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)
- Experience with vector databases (Pinecone, Weaviate, or Milvus)
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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