Director, AI Enterprise Architect

Locus Robotics is a global leader in Physical AI for warehouse automation. We are at an inflection point: AI is evolving from a productivity tool into the operating system that powers how we work and how our products deliver value. The Director, AI Enterprise Architect will make this transition real across the enterprise.The Director, AI Enterprise Architect is a high-visibility, cross-functional leadership role with direct C-suite mandate. You will act as a force multiplier across the organization partnering with leaders to identify where AI creates the highest leverage, translating business requirements into scalable AI-native workflows, and building them.This is a rare opportunity to join one of the largest privately held robotics companies in the U.S. at the frontier of Physical AI, at a moment when enterprise-wide AI transformation is actively underway. This AI-first agenda has full CEO and board visibility. You will own the direction, execution, and impact.This is both a strategy and build role—you will define the roadmap, architect the platform, and lead execution.ResponsibilitiesEnterprise AI Transformation StrategyDefine and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment. Ensure a relentless focus on business outcomes rather than tool adoption.AI-Native Workflow RedesignPartner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities. Redesign processes from the ground up into AI-native, automated workflows.AI Systems & Agentic Workflow DevelopmentDesign, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes. Own the full lifecycle—from scoping through deployment, monitoring, and iteration.LLM & Data Integration ArchitectureArchitect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources.Data & Platform EngineeringDesign and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities. Ensure reliability, scalability, and accessibility across systems.AI Governance, Security & StandardsEstablish frameworks for model governance, risk management, data access, and security. Define standards for tools, evaluation, and responsible AI usage.Technical Leadership & Culture BuildingDrive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.Core ExpertiseAdvanced AI & LLM SystemsDeep expertise in modern AI techniques, including transformer architectures, multimodal systems, and LLM application design. Strong understanding of:Fine-tuning and adaptation (LoRA, PEFT, RLHF/DPO)RAG systems, embeddings, and tokenizationPrompt engineering and tool-augmented agentsProduction AI at ScaleProven track record designing and operating production-grade AI systems that deliver measurable business impact (e.g., efficiency, revenue growth, cost reduction, user experience).Enterprise IntegrationExperience embedding AI into core enterprise systems (CRM, ERP, knowledge systems, collaboration platforms) to enable end-to-end workflow transformation.Data & Platform FoundationsStrong grounding in:Data engineering (ETL/ELT, pipelines, APIs)Data architecture (Lakehouse, storage systems)Metadata systems (catalogs, lineage)Governance, security, and compliance frameworksScalable AI Platform DevelopmentExperience building scalable AI platforms including:Shared services, connectors, and agent frameworksEvaluation and observability toolingDeployment and scaling infrastructureHands-On Technical LeadershipAbility to operate at both strategic and deeply technical levels—prototyping, architecting, and delivering complex AI systems in production environments.Communication & InfluenceExceptional ability to translate complex technical concepts into clear business value, align stakeholders, and drive execution across diverse teams.Qualifications5+ years driving enterprise AI or digital transformation initiatives5+ years in software engineering, data engineering, or AI/ML rolesStrong proficiency in Python and modern cloud platforms (AWS, Azure, or GCP)Hands-on experience with data engineering (ETL/ELT, APIs, lakehouse architectures, data quality frameworks) and platforms such as DatabricksExperience building and deploying production-grade agentic AI systems that take actions, not just generate outputsDeep expertise in LLM integration, RAG pipelines, and enterprise AI tooling (e.g., GPT-4, Claude, or equivalent models)Solid foundation in classical ML techniques (regression, classification, anomaly detection, time-series forecasting)Strong business acumen with the ability to identify root problems and deliver practical, high-impact solutionsExcellent communication skills, with the ability to engage both technical teams and executive stakeholdersAdditional InformationLocus Robotics is an Equal Opportunity Employer.The expected base salary range for this role is $175,000 - $250,000 annually, based on external market data, plus bonus and equity. Actual offers will depend on factors such as the candidate's experience, education, training, key or critical skills, geographic location, and current market and business conditionsApplication Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law