Director, AI Enterprise Architect

Locus Robotics

Director, AI Enterprise Architect at Locus Robotics driving AI transformation across enterprise operations and strategies.

Posted 6/2/2026full-timeRemote • 🇺🇸 United StatesLead💰 $175,000 - $250,000 per yearWebsite

ATS Keywords

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Hard Skills

PythonAI systemsdata engineeringETLELTAPIslakehouse architecturesdata quality frameworksLLM integrationclassical ML techniques

Soft Skills

business acumencommunication skillsmentoringproblem identificationsolution delivery

Tools & Technologies

AWSAzureGCPDatabricksGPT-4Claude

Industry Keywords

AI roadmapdigital transformationproduction-grade systemsagentic workflowsmodel governancerisk managementdata accesssecurityAI adoptionenterprise AI tooling

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment.
Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities.
Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes.
Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks.
Design and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities.
Establish frameworks for model governance, risk management, data access, and security.
Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

Requirements

What you’ll need

5+ years driving enterprise AI or digital transformation initiatives
5+ years in software engineering, data engineering, or AI/ML roles
Strong 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 Databricks
Experience building and deploying production-grade agentic AI systems that take actions, not just generate outputs
Deep 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 solutions
Excellent communication skills, with the ability to engage both technical teams and executive stakeholders.

Benefits

Comp & perks

Equal Opportunity Employer