Locus Robotics

Locus Robotics

Technical Director, AI Enterprise Architect

United States · Director

Sponsorship not specified$175k-$250kDetected 6 days ago
PythonDatabricksAWSGCPAzureCloud PlatformsPlatform EngineeringMachine LearningData EngineeringData ScienceNLPLLMsRAGAccessibilityCRMForecastingERPCustomer SuccessRoboticsLeadershipCommunicationCollaborationMentoring

About the role

  • Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment.
  • 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.
  • 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.

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.
  • 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.
  • Technical Leadership & Culture Building: Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.
  • Proven track record designing and operating production-grade AI systems that deliver measurable business impact (e.g., efficiency, revenue growth, cost reduction, user experience).
  • Enterprise AI Transformation Strategy: Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment.
  • AI-Native Workflow Redesign: Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities.
  • 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.

Requirements

  • 5+ years leading enterprise AI or digital transformation initiatives, with demonstrated ownership of strategy through execution
  • 5+ years of hands-on experience in software engineering, data engineering, or AI/ML roles, with strong proficiency in Python and modern cloud platforms (AWS, Azure, or GCP)
  • Deep expertise in LLM-based systems, including RAG architectures, prompt engineering, tool integration, and enterprise use of foundation models (e.g., GPT-4, Claude, or equivalent)
  • Ability to operate at both strategic and deeply technical levels- prototyping, architecting, and delivering complex AI systems in production environments.
  • Demonstrated ability to translate business problems into scalable technical solutions, with strong business acumen and outcome-driven thinking
  • Strong understanding of: Fine-tuning and adaptation (LoRA, PEFT, RLHF/DPO), RAG systems, embeddings, and tokenization and Prompt engineering and tool-augmented agents
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field required; Master's or PhD preferred
  • Proven experience designing and deploying production-grade AI systems, including agentic workflows that automate end-to-end processes and drive measurable business outcomes
  • Strong foundation in data engineering and architecture, including ETL/ELT pipelines, APIs, Lakehouse environments (e.g., Databricks), and data quality/governance frameworks
  • Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs. LLM-based approaches
  • Excellent English communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment

Nice to have

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field required
  • Master's or PhD preferred

Skills

  • Ensure a relentless focus on business outcomes rather than tool adoption.
  • Establish frameworks for model governance, risk management, data access, and security.
  • Define standards for tools, evaluation, and responsible AI usage.

Compensation

  • The expected base salary range for this role is $175,000 - $250,000 annually, based on external market data, plus bonus and equity.

Benefits

  • 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.
  • Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs.

Company info

  • Deep expertise in modern AI techniques, including transformer architectures, multimodal systems, and LLM application design.

Equal opportunity

  • Locus Robotics is an equal opportunity employer.

Visa & Work Authorization

  • You will play a pivotal role in shaping and accelerating an enterprise-wide AI transformation initiative with full CEO and Board-level sponsorship.
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This listing is sourced directly from Locus Robotics's careers page and normalized into a canonical job model.