Director of AI Enterprise Architect, Locus Robotics
$175-250k
+ Bonus + Equity
Autonomous robots for warehouses
Be an early applicant
Autonomous robots for warehouses
201-500 employees
Be an early applicant
$175-250k
+ Bonus + Equity
201-500 employees
Company mission
To transform commerce supply chains worldwide through the use of autonomous mobile robots.
Role
Who you are
- Deep 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 tokenization
- Prompt engineering and tool-augmented agents
- Proven track record designing and operating production-grade AI systems that deliver measurable business impact (e.g., 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
- Strong grounding in:
- Data engineering (ETL/ELT, pipelines, APIs)
- Data architecture (Lakehouse, storage systems)
- Metadata systems (catalogs, lineage)
- Governance, security, and compliance framew
- Experience building scalable AI platforms including:
- Shared services, connectors, and agent frameworks
- Evaluation and observability tooling
- Deployment and scaling infrastructure
- Ability to operate at both strategic and deeply technical levels—prototyping, architecting, and delivering complex AI systems in production environments
- Exceptional ability to translate complex technical concepts into clear business value, align stakeholders, and drive execution across diverse teams
- Bachelor’s degree in Computer Science, Engineering, Data Science, 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
- 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 communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment
What the job involves
- 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
- 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
Our take
Many order fulfilment warehouses rely on a combination of human workers and machinery to operate packaging assembly lines. However, these workflows are time-consuming and repetitive, showing the potential for human workers to be replaced with AI-driven robots.
Locus Robotics provides automated robotic technologies for fulfilment warehouses, offering a range of different robots for different workflows. Every robot outputs data that can be tracked and analyzed, and they can be installed rapidly and scaled depending on business size.
Whilst robots in warehouses is not a new concept, they are generally limited to warehouse giants such as Amazon. Locus Robotics, however, has taken a flexible and accessible approach to its technology, aiming to increase access and affordability so that smaller businesses can scale.
Having picked over three billion items across its network of customers, the company is well established. It has also seen significant funding which has supported international expansion. In the longer term, it has plans to consider an IPO, as long as market conditions allow.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Nov 2022
$117m
SERIES F
Sep 2021
$50m
SERIES E
Total funding: $416m
Company benefits
- Career growth and personal development
- Flexible work environment (remote, hybrid or on-site)
- Competitive benefits and personal time off that are specific to the country in which you work
- Peer and company recognition programs
- Wellbeing and mental health resources
Company HQ
Wilmington, MA
Leadership
Rick Faulk
(CEO)Experience as CEO and Chairman of Intronis & Barracuda Networks from 2013 to 2016. CEO of Quiet Logistics from 2016 to 2018.
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