Technical Lead, AI Engineering (Sales, Service & Supply Chain)Active$318K

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market.

What you'll do

• Own the architecture for LLM-based and agentic systems across Sales, Service: and Supply Chain: assistants over enterprise knowledge, agents that act against internal APIs, document and data extraction pipelines, and the platform pieces they share.

• Deliver those systems into the channels our customers and employees already: use: web and in-app chat, email and SMS. Own the conversational contract across them, including threading, context carry-over, handoff to a human, and tone appropriate to the channel.

• Turn business problems into engineering plans. Work directly with: stakeholders to define the outcome, then sequence the work so value lands early and often.

• Build the parts that make AI safe to run in the enterprise: input and output guardrails, identity-aware access to tools and data, prompt governance, and clear trust boundaries between internal and external-facing surfaces.

• Own the tool layer, including MCP servers and internal tool interfaces, so: agents reach business systems through contracts that are versioned, permissioned and testable.

• Define how quality is measured, including evaluation datasets, regression: suites, tracing and production telemetry, and make it the default gate for prompt and model changes.

What they're looking for

• Own the unit economics. Set targets for cost and latency per conversation and: per resolution, and hold them through model routing, context trimming, caching, batching and right-sized retrieval.
• Integrate with systems of record: ERP, supplier portals, service and CRM platforms, logistics and planning systems. The interesting problems here are data, integration and correctness more than model choice.
• Set standards the wider team builds on, such as shared services, reusable: patterns and review expectations, and make sure they hold up outside your own code.
• Lead technically across time zones, including close partnership with our: engineering team in India. Mentor engineers, review designs, and be the person others bring their hardest problem to.