Analyses, designs, and develops digitalisation roadmaps and implementation plans based on a current versus future state solutions architecture.
Analyses the current architecture to identify weaknesses and identifies opportunities for improvement and performs ongoing architecture quality review activities.
Leads and facilitates the solutions architecture governance processes by aligning to the enterprise architecture and manages exceptions to architectural standards at a solution level.
Assesses near-term needs to establish business priorities, analyses and develop solutions architectural requirements, and ensures alignment of architectural requirements with the IT strategy.
Work with customers to identify, design and develop AI/ML solutions to address their requirements, challenges, and pain points.
Engage solution vendors to determine appropriate products 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, management, and technical skills.
Period:
Permanent
Working Hours:
Mon \xe2\x80\x93 Fri; 8.30am \xe2\x80\x93 6pm
Salary:
Up to $6400
Location:
Island wide, depending on project, most likely AMK/ Bukit Merah / Science Park
Requirements:
Bachelor\xe2\x80\x99s degree in data science, Artificial Intelligence, Computer Science, Engineering, or related disciplines.
Strong technical knowledge in software architecture, have breadth across technology stacks with deep hands-on skills, and passionate about working with customers to help build applications at scale.
Knowledge of Continuous Integration/Continuous Delivery environment with change/version control process and methodologies.
Knowledge of networking, computing platform, storage, database, security, middleware, network and systems management, and related infrastructure technologies and practices.
Experience in designing and building DA/AI solutions (e.g., cloud native, microservices architecture using containers/Kubernetes), integrated with machine learning pipeline.
Experience in all stages of the project lifecycle, e.g., planning, requirements gathering, design documentation, testing, rollout, and transition to Ops.
Experience in technical presentation, technical documentation.
Experience in delivering projects for the defence sector will be a plus.
Interested applicants, kindly email your detailed resume (MS Word format is preferred): nicholas@successhrc.com.sg (Registration no: R1549023)
Please ensure that applications sent through email are no bigger than 1Mb.
We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.
Success Resource Centre Pte Ltd (EA License Number: 04C3201)