Director of Artificial Intelligence

Job Description

Director of AI Engineering

My client, a leading US Fortune 500 industrial manufacturing company, is seeking a Director of AI Engineering to lead the strategy, development and delivery of enterprise AI platforms and intelligent solutions across a global organisation.

This is a highly visible leadership role responsible for defining the AI engineering vision, scaling production-grade AI capabilities and driving the adoption of Generative AI, machine learning and intelligent automation across the business.

You will work at the intersection of AI innovation, cloud engineering and executive leadership, shaping how artificial intelligence is built, governed and deployed to deliver measurable business value.

What You'll Do

\n
• Define and lead the enterprise AI engineering strategy in alignment with business and technology objectives
\n
• Oversee the design, development and deployment of scalable AI and machine learning platforms across the organisation
\n
• Drive the adoption of Generative AI, LLMs and AI-powered applications to improve operational efficiency and customer outcomes
\n
• Build robust AI infrastructure, MLOps pipelines and reusable engineering frameworks to accelerate AI delivery
\n
• Partner with Product, Digital, Data, Architecture and business leaders to identify and deliver high-impact AI use cases
\n
• Establish engineering standards across AI governance, model lifecycle management, observability, security and responsible AI
\n
• Influence strategic roadmaps across AI platforms, cloud infrastructure, data ecosystems and enterprise applications
\n
• Lead, mentor and develop a high-performing organisation of AI engineers, machine learning engineers and technical leaders
\n
• Establish governance frameworks covering AI security, compliance, model monitoring and ethical AI practices
\n
• Improve the scalability, reliability and performance of enterprise AI platforms while optimising operational costs
\n
• Translate complex AI strategies into clear executive recommendations, investment priorities and business outcomes
\n
• Drive measurable business value through the successful delivery of enterprise AI initiatives at scale
\n

What We're Looking For

\n
• Senior leadership experience within AI Engineering, Machine Learning Engineering or Enterprise AI Platforms
\n
• Proven experience building and leading large, multidisciplinary engineering teams
\n
• Deep expertise in cloud-native AI platforms, with strong experience across Azure, AWS or Google Cloud
\n
• Experience designing and deploying enterprise-scale AI and machine learning solutions into production
\n
• Strong understanding of MLOps, AI infrastructure, model lifecycle management and AI platform engineering
\n
• Experience working with Large Language Models (LLMs), Generative AI and modern AI frameworks
\n
• Background within manufacturing, industrial, engineering or another large-scale enterprise environment is highly desirable
\n
• Strong understanding of AI governance, security, compliance and responsible AI principles
\n
• Demonstrated success modernising enterprise technology through AI-driven transformation
\n
• Ability to operate effectively at both executive and technical levels
\n
• Exceptional communication skills with the ability to influence senior stakeholders across the organisation
\n

Technologies and Areas You'll Work With

Generative AI • Large Language Models (LLMs) • Machine Learning • AI Engineering • MLOps • Azure AI • Azure OpenAI • Azure Machine Learning • Python • Kubernetes • APIs • Vector Databases • AI Agents • Cloud Platforms • Responsible AI • AI Governance • Model Monitoring • Enterprise AI Platforms • Intelligent Automation

Details

Industry: Industrial Manufacturing

Location: Remote (Occasional Travel)

Compensation: Up to $300,000 per year base salary

Job Type: Full Time

Why This Role

This is a career-defining opportunity to lead enterprise AI engineering strategy and shape the future of AI across one of the world's largest industrial organisations.

You will have the opportunity to build the engineering foundations that power next-generation AI capabilities, intelligent automation and digital transformation initiatives while working alongside executive leadership to deliver meaningful business outcomes at global scale.