At Locus Robotics, we build AI-powered systems and intelligent robots that keep global supply chains running. Our platform combines advanced AI, real-time decision-making, and autonomous robotics to help leading companies improve efficiency, scale operations, and adapt to constant change. Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment.

We invest in our people, encourage continuous learning, and give you the opportunity to grow your career while building technology that is used every day at global scale. The Technical Director, AI Enterprise Architect is a highly visible, hands-on individual contributor (IC) role with a direct mandate from the executive leadership team. As a strategic and technical leader, you will serve as a force multiplier across the organization, partnering with senior stakeholders to identify high-impact AI opportunities, translate complex business challenges into scalable AI-native solutions, and drive execution from concept through adoption.

This is a rare opportunity to join one of the largest privately held robotics companies in the United States at the forefront of Physical AI. You will play a pivotal role in shaping and accelerating an enterprise-wide AI transformation initiative with full CEO and Board-level sponsorship. Working across business and technology functions, you will have significant influence over AI strategy, architecture, implementation, and measurable business outcomes—owning both the direction and the impact of the company's AI-first vision.

This is both a strategy and build role - you will define the roadmap, architect the platform, and lead execution.

Responsibilities

Enterprise AI Transformation Strategy : Define 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 Redesign : Partner 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 Development : Design, 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 Architecture : Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources. Data Platform Engineering : Design 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 Standards : Establish frameworks for model governance, risk management, data access, and security. Define standards for tools, evaluation, and responsible AI usage. Technical Leadership Culture Building : Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

Core Expertise Deep expertise in modern AI techniques, including transformer architectures, multimodal systems, and LLM application design. , efficiency, revenue growth, cost reduction, user experience). Experience embedding AI into core enterprise systems (CRM, ERP, knowledge systems, collaboration platforms) to enable end-to-end workflow transformation.