AI Engineer

KOPI RECRUIT PTE. LTD.; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

KOPI RECRUIT PTE. LTD. seeks an experienced AI/ML solutions architect to lead cross-functional teams in delivering end-to-end retail analytics platforms, including AI-driven personalization and conversational AI for customer service.

You will shape solution architecture, define standards, and drive PoCs across cloud data platforms and on-prem tooling. The role requires 2+ years of hands-on AI/ML development, 2+ years of team leadership, deep knowledge of NLP/vision for retail, and ability to

Qualifications

• Minimum 2 years in a similar role with broad functional expertise in retail.
• 2+ years leading technical/software teams or managing complex tech projects.
• 2+ years hands-on developing AI/ML solutions and generative AI in retail/e-commerce.
• Strong backend system development experience.
• Degree in CS/IT or related field; Agile cert is a plus.
• Proficiency in Python or R; cloud platforms (AWS/Azure/GCP).
• Experience with POS/ERP/CRM retail data structures and AI monetization metrics.

Responsibilities

• Lead omni-channel personalization and AI-driven customer experiences; guide architecture and integration.
• Design end-to-end AI platforms aligned with business strategy; advise on generative AI and LLMs.
• Direct AI projects, vendor management, and internal IT workforce planning.
• Collaborate with stakeholders to drive ROI and bridge technical/business gaps.
• Ensure governance, data privacy, and security across AI initiatives.
• Oversee resource planning, risk management, and PoC delivery.

Skills

AI/ML architecture

Leadership

Retail domain knowledge

Python

SQL

Cloud platforms

MLOps (MLflow/Kubeflow/Airflow)

Communication

Education

Bachelor's degree in Computer Science / IT / related

Agile certification

Tools

Tableau

Microsoft Fabric

Salesforce

Azure

AWS / GCP

Docker

Kubernetes

MLflow / Kubeflow / Airflow

Job description

Key JD requirements:

• Minimum 2 years in a similar role, with broad functional expertise (preferably retail) and technical expertise in AI/ML solution architecture
• 2+ years leading technical/software engineering teams or managing complex tech projects
• 2+ years hands-on developing AI/ML solutions and generative AI technologies/frameworks, with at least 2 years specifically in retail, e-commerce, or FMCG
• 2+ years large-scale backend system development experience
• Degree in Computer Science, IT, Programming & System Analysis, Computer Studies, or related discipline; Agile certification a plus
• Business Central, Tableau, Microsoft Fabric, or Salesforce certification an advantage
• Proficiency in Python or R; cloud data platforms (AWS, Azure, or GCP)
• Deep ML/Deep Learning/NLP/Computer Vision knowledge applied to retail (e.g. image search, sentiment analysis)
• Generative AI applications in retail (product description generation, virtual try-ons, personalized email copy)
• SQL and database schema design - relational and non-relational
• Cloud platforms (Azure/GCP), distributed computing, container orchestration (Docker, Kubernetes), MLOps tooling (MLflow, Kubeflow, Airflow)
• Familiarity with retail data structures - POS, ERP, CRM systems
• Strong commercial acumen tying AI metrics to retail KPIs (e.g. conversion rate); strong storytelling/communication to explain complex AI models to technical and non-technical stakeholders
• Available for weekend/off-hours on-site support and 24/7 call support

Scope of work:

• Omni-channel customer experience & personalization - AI-driven personalization engines, conversational AI for customer service, in-store layout optimization, customer behaviour tracking; solution architecture, feature development, technical support; customization incl. code structure, extension architecture, theming, caching, API integration (REST/SOAP)
• AI systems architecture - design/execute end-to-end platforms for advanced analytics and enterprise AI; align AI solutions with technology architecture and business strategy; strategic input on generative AI, LLMs, and ML frameworks
• Leadership & strategy - direct AI project management, solution delivery, vendor/supplier/contractor and internal IT workforce management; evaluate and negotiate with third-party AI vendors and SaaS platforms
• Partnership - work with internal/external stakeholders and vendor management; initiate/prioritize projects and process improvements; ensure quality and ROI; translate technical concepts for non-technical audiences
• Project & risk management - ensure deliverables on track and meet/exceed expectations; enforce PM principles incl. risk management, prototyping, and PoC delivery for emerging tech
• Governance & security - enforce information security policy across IT functions; periodic gap assessments; ensure AI initiatives comply with data privacy regulations
• People & resource management - build a performance culture; establish resource allocation/utilization controls
• Change management & service excellence - ensure solutions are tested and meet specs/timelines through deployment
• Other - monitor solution/project quality, contract & procurement management, IT policy development/review, audit support, ad-hoc tasks