At Aleph, the best solutions start with understanding people deeply. We're a global team of researchers, strategists, designers, and technologists who help organisations, particularly in the public sector, healthcare, and regulated industries, make decisions grounded in real human needs.

We are seeking an experienced Lead AI Engineer to architect, build, and scale enterprise-grade AI systems. This role combines deep hands-on technical expertise with technical leadership, governance oversight, and cross-functional collaboration. You will lead end-to-end AI initiatives from research and model development to deployment, monitoring, and optimization while mentoring engineers and shaping the organization's AI roadmap.

Key Responsibilities

1. AI Architecture & Technical Leadership

• Define and own AI/ML system architecture and engineering standards.
• Lead the design, development, and deployment of ML, Deep Learning, and LLM-based solutions.
• Conduct advanced benchmarking, evaluation, and model validation.
• Drive best practices in scalable and production-ready AI engineering.

2. Advanced AI/ML Model Development

• Architect and oversee training, fine-tuning, and optimization of models (including LLMs, RAG pipelines, and generative AI systems).
• Guide model selection strategies aligned to business goals.
• Optimize performance, latency, and cost-efficiency.

3. Data Engineering & Scalable Pipelines

• Design and supervise scalable data pipelines for structured and unstructured data.
• Establish data quality frameworks, governance standards, and feature engineering best practices.
• Collaborate with data engineering teams to enable real-time and batch processing systems.

4. Model Deployment & Enterprise MLOps

• Lead implementation of CI/CD pipelines for ML workflows.
• Oversee containerization and orchestration (Docker, Kubernetes).
• Implement model monitoring, drift detection, bias detection, and automated retraining mechanisms.
• Ensure robust versioning, experiment tracking, and observability frameworks.

5. AI System Integration & Platform Engineering

• Architect AI integration into enterprise applications, APIs, and microservices.
• Drive inference optimization strategies for scalability and cost control.
• Contribute to building internal AI platforms or reusable AI frameworks.

6. Responsible AI & Governance

• Establish responsible AI guidelines and governance frameworks.
• Ensure fairness, transparency, explainability, and regulatory compliance.
• Partner with risk, compliance, and legal teams on AI controls and documentation.

7. Research, Innovation & Strategy

• Stay ahead of advancements in AI/ML, LLMs, and emerging frameworks.
• Evaluate and prototype new tools and technologies.
• Contribute to the organization's AI strategy and long-term roadmap.

8. Team Leadership & Stakeholder Management

• Mentor and guide AI engineers and data scientists.
• Translate business problems into scalable AI solutions.
• Communicate technical trade-offs, risks, and ROI to senior leadership.
• Drive cross-functional collaboration across product, engineering, and business teams.

9. Performance & Continuous Improvement

• Establish KPIs for AI system performance and cost optimization.
• Lead incident resolution and root cause analysis for production AI systems.
• Continuously improve system reliability, accuracy, and governance maturity.

Prerequisites

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 8+ years of software engineering experience, with 5+ years in AI/ML development.
• Deep expertise in Python and ML/DL frameworks (PyTorch, TensorFlow, Scikit-learn).
• Strong experience with LLMs, prompt engineering, fine-tuning, RAG architectures, or generative AI.
• Hands-on experience with cloud platforms (AWS/GCP/Azure).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Strong MLOps experience (MLflow, Kubeflow, Airflow, CI/CD pipelines).
• Solid understanding of distributed systems and system design.
• Experience building enterprise-scale AI platforms.
• Exposure to explainability tools (SHAP, LIME) and AI governance frameworks.
• Experience in regulated industries (FinTech, Banking, Healthcare).
• Prior experience leading or mentoring engineering teams.
• Technical leadership & architectural thinking
• Strategic problem solving
• Strong communication & executive presentation skills
• Ownership and accountability
• Innovation mindset

Benefits

• Competitive salary (compensation will be based on experience)
• Medical insurance
• A solid team behind you: great people who love what they do
• A culture that promotes learning and knowledge sharing
• Opportunities for personal and professional growth are offered from our in-house Learning @ Aleph Academy, Flocket meetups, timely training for skills upgrade, workshops, and conferences.

Get in touch

Please visit www.aleph-labs.com or drop us an email at careers.sg@aleph-labs.com.

Aleph is an equal opportunity employer, and we work in an engaging, collaborative environment where ideas are shared freely.