Technical Director – AI Enterprise Architect

Locus Robotics

Technical Director leading enterprise AI initiatives at Locus Robotics, shaping AI transformation with full executive sponsorship and strategic influence. Building and deploying AI systems for operational excellence.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesLead💰 $200,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and executing AI roadmaps, designing production-grade AI systems, and establishing frameworks for model governance and risk management. Proficient in leading cross-functional collaboration to drive AI adoption and implement scalable, enterprise-wide AI capabilities.

Highest-signal resume keywords

AI Roadmap DevelopmentProduction-Grade AI Systems DesignLLM-Based Systems ExpertiseData Engineering and ArchitectureCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI/MLData EngineeringETL/ELT PipelinesRAG ArchitecturesPrompt EngineeringAPIsLakehouse EnvironmentsClassical Machine Learning TechniquesCloud Platforms (AWS, Azure, GCP)

Soft Skills

Excellent CommunicationLeadershipBusiness AcumenOutcome-Driven Thinking

Tools & Technologies

DatabricksAI PlatformsEvaluation ToolingObservability Tooling

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s or PhD Preferred

Industry Keywords

AI AdoptionDigital TransformationModel GovernanceRisk ManagementAutomated Workflows

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.
Redesign processes from the ground up into AI-native, automated workflows.
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.
Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources.
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.
Define standards for tools, evaluation, and responsible AI usage.
Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Master’s or PhD preferred
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)
Proven experience designing and deploying production-grade AI systems, including agentic workflows that automate end-to-end processes and drive measurable business outcomes
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)
Strong foundation in data engineering and architecture, including ETL/ELT pipelines, APIs, Lakehouse environments (e.g., Databricks), and data quality/governance frameworks
Experience building scalable AI platforms including: Shared services, connectors, and agent frameworks, evaluation and observability tooling and deployment and scaling infrastructure
Ability to operate at both strategic and deeply technical levels- prototyping, architecting, and delivering complex AI systems in production environments.
Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs. LLM-based approaches
Demonstrated ability to translate business problems into scalable technical solutions, with strong business acumen and outcome-driven thinking
Excellent English communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Locus Robotics Website LinkedIn All Job Openings 201 - 500 employees Founded 2014 🤖 Artificial Intelligence 🚗 Transport 🏢 Enterprise 💰 $117M Series F on 2022-11 Artificial Intelligence
Transport
Enterprise Locus Robotics is a company specializing in warehouse automation with an intelligent, AI-driven, enterprise-grade robotics platform. Their autonomous mobile robots (AMRs) are designed to enhance warehouse productivity, operational efficiency, and workplace safety. Offering solutions such as picking, putaway, transport, and mezzanine management, Locus Robotics aims to boost warehouse productivity 2-3 times and reduce labor costs. With a strong foundation in robotic technology and warehouse operations, they provide seamless integration with warehouse management systems and adapt to various environments, including brownfield and greenfield sites. Technical Director – AI Enterprise Architect 🔥 53 minutes ago 🇺🇸 United States – Remote 💵 $200k - $300k / year ⏰ Full Time 🔴 Lead 🔙 Backend Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud ETL Google Cloud Platform Python Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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.
Redesign processes from the ground up into AI-native, automated workflows.
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.
Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources.
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.
Define standards for tools, evaluation, and responsible AI usage.
Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working. 🎯 Requirements
Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Master’s or PhD preferred
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)
Proven experience designing and deploying production-grade AI systems, including agentic workflows that automate end-to-end processes and drive measurable business outcomes
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)
Strong foundation in data engineering and architecture, including ETL/ELT pipelines, APIs, Lakehouse environments (e.g., Databricks), and data quality/governance frameworks
Experience building scalable AI platforms including: Shared services, connectors, and agent frameworks, evaluation and observability tooling and deployment and scaling infrastructure
Ability to operate at both strategic and deeply technical levels- prototyping, architecting, and delivering complex AI systems in production environments.
Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs. LLM-based approaches
Demonstrated ability to translate business problems into scalable technical solutions, with strong business acumen and outcome-driven thinking
Excellent English communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Dynamics 365 Finance & Supply Chain Technical Architect 🔥 1 hour ago Ludia Consulting 11 - 50 🤝 B2B 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Microsoft Dynamics 365 Technical Architect for Ludia Consulting, leading technical project delivery and mentoring teams. Driving successful Dynamics implementations and client engagements. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🔙 Backend Engineer Azure ERP SQL TFS Database Developer 🔥 15 hours ago Wix 1001 - 5000 💸 Finance 🤝 B2B Website LinkedIn All Job Openings Database Developer at Integres, LLC designing, developing, and optimizing enterprise database solutions. Collaborating on database development, ETL processes, and performance optimization within Agile teams. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🔙 Backend Engineer ETL MS SQL Server PySpark Python SQL SSIS Staff Backend Engineer, Host Serving and Access 🔥 19 hours ago Airbnb 5001 - 10000 👥 B2C 🛍️ eCommerce Website LinkedIn All Job Openings Staff Engineer developing backend services and APIs for Airbnb's Host Serving team. Leading cross-functional collaboration for scalable solutions and architecture enhancements. 🇺🇸 United States – Remote 💵 $212k - $265k / year 💰 Post-IPO Equity on 2020-12 ⏰ Full Time 🔴 Lead 🔙 Backend Engineer 🦅 H1B Visa Sponsor Principal Backend Engineer – Core 🕒 Yesterday The Leaflet 11 - 50 🔌 API Website LinkedIn All Job Openings Principal Backend Engineer at Hard Rock Digital focusing on backend systems and engineering leadership. Driving technical excellence and mentoring engineers while building products for millions of users. 🇺🇸 United States – Remote ⏰ Full Time 🔴 Lead 🔙 Backend Engineer Distributed Systems Java Staff Software Engineer, Backend – Ledger Engineering 🕒 Yesterday Affirm 1001 - 5000 💳 Fintech 👥 B2C 🛍️ eCommerce Website LinkedIn All Job Openings Staff Software Engineer developing backend systems for financial products at Affirm. Collaborating on technical strategy and ensuring operational excellence within the engineering team. 🇺🇸 United States – Remote 💵 $204k - $264k / year 💰 Post-IPO Equity on 2021-01 ⏰ Full Time 🔴 Lead 🔙 Backend Engineer 🦅 H1B Visa Sponsor AWS Distributed Systems Kotlin Kubernetes MySQL Python Spark View More Backend Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs