Enterprise AI Architect

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

The Enterprise AI Architect is a strategic, hands-on leader who partners with the IT, Product, and Business leaders to unlock enterprise value through AI. Serving as Lucid’s trusted authority on AI architecture, this role shapes the end-to-end strategy—from opportunity discovery and platform selection to model governance and production-scale delivery. The Enterprise AI Architect drives cross-functional alignment, embeds AI best practices into product, IT, and business roadmaps, and cultivates an innovation-forward culture that elevates skills, transparency, and measurable impact across the organization. 

You Will:

Strategic Architecture & Governance

• Select, design, and implement AI capabilities across core Enterprise SaaS platforms—Salesforce (AgentForce), SAP S/4HANA & BTP (Joule, AI Core), ServiceNow (Now Assist), and Microsoft 365 Copilot—building chatbots, autonomous agents, and embedded predictive/generative apps that elevate CRM, ERP, collaboration, and ITSM workflows.
• Define the enterprise-wide AI reference architecture (LLMs, MLOps, vector DBs, RAG patterns, multimodal pipelines) that aligns Product, IT, and Business roadmaps.
• Own AI technology standards, guardrails, and design patterns—balancing innovation velocity with security, privacy, and ethical use (NIST RMF, ISO 42001, EU AI Act readiness).
• Define and maintain an enterprise-wide AI capability maturity model and staged adoption roadmap, setting clear gate criteria, ROI metrics, and compliance checkpoints so each domain (Product, IT, and Business) advances safely and predictably toward generative-AI at scale.

Delivery & Enablement

• Guide cross-functional teams in turning use-case backlogs into scalable AI services, proofs-of-concept, and production deployments.
• Establish MLOps foundations—CI/CD for models, feature stores, observability, and Responsible-AI evaluation pipelines.
• Partner with Security & Legal on model provenance, IP protection, and third-party-model risk assessments.

Value Realization & Evangelism

• Publish quarterly AI impact scorecards that translate technical metrics (e.g., precision, latency, cost-per-inference) into business KPIs, and actively broadcast successes and lessons learned across exec forums and all-hands to sustain momentum and surface new opportunities.
• Mentor domain architects and data scientists; run workshops that upskill engineers & business stakeholders on the art-of-the-possible.

You Bring:

• 10+ years in enterprise architecture or large-scale software engineering, with 5+ years designing and deploying AI/ML solutions (including generative AI/LLMs).
• Demonstrated success operationalizing AI in at least two domains (e.g., manufacturing optimization, intelligent automation, personalized digital experiences).
• Mastery of modern AI stack: Python, TensorFlow/PyTorch, model fine-tuning, vector search (Milvus/PGVector), orchestration frameworks (LangChain, LlamaIndex), and major cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex).
• Deep knowledge of data architecture (ELT into Snowflake, event streams, API/micro-service patterns) and integration tooling (Boomi, Kafka, REST/gRPC).
• Proven track record establishing governance over model lifecycle, data privacy (GDPR/CCPA), and AI ethics.
• Influential communicator comfortable translating technical vision into board-level business value.
• Bachelor’s in Computer Science, Data Engineering, or related;
• Bonus: Automotive or high-volume manufacturing experience; exposure to autonomous systems or embedded AI.

This is an onsite role at our Newark, CA Headquarters.   At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)Base Pay Range (Annual)$216,800—$317,900 USD

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