Technical Lead, AI Engineering (Sales, Service & Supply Chain)

The role

This role sets the technical direction for an AI layer over commercial and industrial operations including sales, service, and supply chain. You will design and build LLM-based and agentic systems, leading a distributed engineering team through architecture and code.

What you will do

• Own the architecture for LLM-based and agentic systems across Sales, Service and Supply Chain.
• Deliver systems into web and in-app chat, email and SMS channels.
• Turn business problems into engineering plans with stakeholders.
• Build input and output guardrails, identity-aware access, and prompt governance.
• Own the tool layer, including MCP servers and internal tool interfaces.
• Define quality measurement including evaluation datasets, regression suites, tracing and production telemetry.
• Own unit economics including cost and latency targets per conversation.
• Integrate with ERP, supplier portals, service and CRM platforms, logistics and planning systems.
• Set standards for shared services, reusable patterns and review expectations.
• Lead technically across time zones and mentor engineers.

Required qualifications

• 10+ years building and operating production software
• 3+ years owning the technical direction of a team or a significant platform
• Strong Python and solid distributed systems fundamentals
• Real production experience with LLM applications: retrieval-augmented generation, agent and tool-calling patterns, structured output, streaming, prompt design and iteration under load
• Strong hands-on experience with LLM engineering tooling such as Langfuse or LangSmith
• Good working experience with MCP: building and consuming MCP servers, designing tool schemas, and handling authentication and permissions
• Practical command of LLM cost optimization: model routing, context and prompt compression, prompt caching, batching, and token budgeting
• Experience delivering AI over customer and employee communication channels such as chat, email and SMS
• Judgment on the model landscape, across hosted models, managed services and fine-tuning
• Strong AWS engineering: serverless and container workloads, event-driven design, IAM, networking basics
• Experience with the data layer behind AI systems: relational, document and vector
• Experience working with non-technical stakeholders

Nice to have

• Automotive, manufacturing, logistics or another operations-heavy domain background
• Exposure to SAP, supply chain execution, EDI, or field service and CRM platforms
• Hands-on work with messaging and contact center platforms such as Twilio, Amazon SES or Pinpoint, Salesforce Service Cloud, or similar
• Security-sensitive AI work: prompt injection defense, tenant or supplier data isolation, red-teaming
• Multi-agent orchestration, or experience running an evaluation program at scale
• Experience leading distributed teams across US and India time zones

Benefits

• Medical, dental, and vision insurance
• Life and disability coverage
• Paid time off
• Paid holidays
• Paid sick leave
• 401(k) retirement plan
• Salaried/exempt employees accrue up to 160 hours paid time off
• Equity program
• Discretionary annual cash incentive program

About the company

Lucid is creating exceptional mobility experiences through innovation. They use proprietary technology and software-defined vehicle architecture to build vehicles in the global automotive market.