AI Engineer – Senior Manager

Location: Singapore; on-site

Company

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

What you will do

• Architect and deliver production-grade AI solutions, including machine learning systems, data pipelines, model serving, and AI-powered applications.
• Design and operate end-to-end ML, evaluation, MLOps, and model lifecycle pipelines covering training, serving, monitoring, testing, observability, and refinement.
• Implement responsible AI capabilities, including explainability, guardrails, fairness checks, bias mitigation, privacy safeguards, and audit trails.
• Lead client workshops, translate business requirements into AI solution designs, develop value hypotheses, and communicate technical decisions to non-technical stakeholders.
• Own workstream delivery, including scope, quality, technical risk, milestones, solution proposals, and expansion opportunities.
• Lead, coach, and develop Consultants and Analysts through code reviews, design sessions, technical guidance, and knowledge sharing.

Requirements

• 5+ years building AI/ML systems in production, including operational accountability for deployed models.
• 4+ years designing and delivering ML systems that operate in real production environments and provide meaningful value.
• Experience facilitating client workshops, eliciting requirements, designing AI solutions, and developing value hypotheses and business cases.
• Hands-on ML orchestration and MLOps experience, including model versioning, experiment tracking, CI/CD for ML, model registries, deployment strategies, and production operations.
• Experience across the ML development lifecycle: problem definition, data preparation, model training, evaluation, serving, monitoring, and refinement.
• Experience with model evaluation frameworks, A/B testing, performance metrics, reliability, observability, and measurable production outcomes.
• Experience with guardrails, bias detection, fairness assessment, data privacy safeguards, and compliance-focused audit trails.
• Experience with advanced ML techniques such as deep learning, NLP, computer vision, or time series forecasting.
• 7+ years in classical AI/ML, data engineering, or advanced analytics; 8+ years of full-stack engineering with Python and data engineering; and 8+ years of cloud-native development on AWS, Azure, or GCP.
• 3+ years of technical leadership, including design ownership, code review, and engineer mentoring.

Nice to have

• Experience integrating AI systems with SAP, Salesforce, or ServiceNow through APIs.
• Experience delivering complex, enterprise-scale, multi-workstream digital transformation programmes.
• Contributions to internal AI accelerators, reusable frameworks, or thought leadership.
• Direct engagement with C-suite stakeholders.
• A Bachelor’s degree in a related field; a Master’s degree is highly valued.

Culture & Benefits

• Hands-on work as a Forward Deployed Engineer in client environments, combining technical depth with client credibility.
• Focus on engineering rigour, continuous improvement, active learning, and knowledge sharing.
• Opportunity to test emerging AI frameworks, tooling, and research and contribute to reusable delivery standards.
• Equal employment opportunity and a commitment to a diverse and inclusive workplace.