AI Engineer – Associate Director (AI)

Location: Singapore; hybrid workplace. Travel may be required from 0% to 100% depending on client requirements and business need.

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, consulting, and digital transformation services across more than 120 countries.

What you will do

• Engage independently with CXOs and boards to define AI transformation strategies, business cases, roadmaps, and measurable outcomes.
• Set enterprise AI architecture principles and govern standards for data infrastructure, model development, serving, MLOps, evaluation, and production readiness.
• Lead concurrent AI programmes, managing delivery scope, quality, risk, commercial performance, milestones, margins, and client satisfaction.
• Own strategic client relationships, lead pursuits and proposals, negotiate at senior level, and grow accounts and new AI opportunities.
• Build and develop senior engineering teams and the AI practice, including hiring, capability strategy, IP, delivery frameworks, and reusable accelerators.
• Shape AI thought leadership, continuous innovation, industry positioning, and partnerships with hyperscalers, platform vendors, and AI framework providers.

Requirements

• 5+ years delivering AI systems in production with verifiable enterprise-scale business value, plus 5+ years building AI/ML applications across data infrastructure, feature engineering, training, serving, monitoring, and MLOps.
• 12+ years in classical AI/ML, data engineering, and advanced analytics; 14+ years in full-stack engineering and software delivery; 10+ years in cloud-native development and 10+ years of technical and delivery leadership.
• Experience building or significantly scaling an AI engineering practice, including capability strategy, hiring at scale, IP, standards, and retention of exceptional talent.
• Hands-on technical depth to set architecture standards, govern engineering quality, direct senior engineers and architects, and evaluate consequential technology trade-offs.
• Recognised external AI thought leadership through published work, conference keynotes, or advisory board participation.
• Demonstrated CXO-level engagement, board-level trust, strategic technology influence, enterprise AI transformation, business-case construction, process reengineering, and outcome measurement.
• Experience in at least two regulated industries, where compliance, data residency, and AI governance shape architecture.
• Experience with global multi-country, multi-entity, and multi-language programme delivery; strategic vendor and partner relationships; sales, account growth, and significant new-business pursuits.
• Expertise in enterprise AI economics, including total cost of ownership, build-versus-buy, make-versus-partner, and board-level investment governance.

Nice to have

• Enterprise-scale deep learning, NLP, computer vision, generative AI, or reinforcement learning experience.
• Background in data science, analytics, or AI research before engineering leadership.
• Responsible AI experience covering fairness, bias mitigation, explainability, and governance frameworks.
• Bachelor’s degree in a related field; a Master’s degree in Computer Science, AI, Engineering, or an MBA is highly valued.

Culture & Benefits

• Hands-on, technically current leadership is expected rather than leaving engineering behind.
• Work focuses on enterprise AI transformation, responsible delivery, continuous learning, and measurable client value.
• Travel may range from 0% to 100% according to client requirements and business need.
• hirify.global is an equal opportunity employer committed to a diverse and non-discriminatory workplace.