Solutions Architect (Data Analytics / ArtificialIntelligence)

Date: 16-May-2023

Location: Singapore, SG

Company: ST Engineering Group

Responsibilities:

Analyses, designs anddevelops digitalisation roadmaps and implementation plans based ona current versus future state solutions architecture
Analyses the current architecture to identify weaknesses andidentifies opportunities for improvement, and performs ongoingarchitecture quality review activities.
Leads andfacilitates the solutions architecture governance processes byaligning to the enterprise architecture and manages exceptions toarchitectural standards at a solutions level
Assessesnear-term needs to establish business priorities, analyses anddevelop solutions architectural requirements, and ensures alignmentof architectural requirements with the IT strategy.
Work with customers to identify, design and develop AI/ML solutionsto address their requirements, challenges and pain points.
Engage solution vendors to determine appropriateproducts that will meet customer DA/AI requirements
Support data analytics solutions response to RFQ and tenders,proposal development and provide post-sales support.
Lead and guide project team to develop and implement the solution
Exercise and continually develop leadership, managementand technical skills

Requirements:

Bachelor’s degree in Data Science,Artificial Intelligence, Computer Science, Engineering or relateddisciplines.
Strong technical knowledge in softwarearchitecture, have breadth across technology stacks with deep handson skills, and passionate about working with customers to helpbuild applications at scale.
Knowledge of ContinuousIntegration/Continuous Delivery environment with change/versioncontrol process and methodologies.
Knowledge ofnetworking, computing platform, storage, database, security,middleware, network and systems management, and relatedinfrastructure technologies and practices.
Experiencein designing and building DA/AI solutions (eg cloud native,microservices architecture using containers/Kubernetes), integratedwith machine learning pipeline.
Experience in allstages of the project lifecycle, e.g. planning, requirementsgathering, design documentation, testing, rollout and transition toOps.
Experience in technical presentation, technicaldocumentation.
Experience in delivering projects forthe defence sector will be a plus.