Senior AI Platform Engineer
Singapore, Singapore
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Singtel
The Singtel Group, Asia's leading communications group provides a diverse range of services including fixed, mobile, data, internet, TV, infocomms technology (ICT) and digital solutions.An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to sayā¦āHello BIG Possibilitiesā.
Be a Part of Something BIG!
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- Lead design, implementation and initial operation of data and AI platform for AIDA
- Build hybrid architecture on Microsoft Azure with necessary integration with on-premise systems
- Make decisions in adopting existing tools vs introducing new elements to realize best-in-class telco AI tech stack
- Perform hands-on technical implementation and operations support during the platformās early phase
- Lay groundwork for future-ready, scalable platform and grow high-performing technical team
- Collaborate with IT, Networks, AIDA developers to align platform capabilities with their needs.
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Make An Impact B
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- Jointly design with AI architecture team and implement overall architecture and technology stack for AIDA platform
- Evaluate existing on-premise and cloud components for reuse or replacement
- Select appropriate Azure services and open-source/third party elements to meet scalability, cost, performance and timeline needs
- Ensure seamless integration between AIDAās Azure platform with other Azure and on-premise systems
- Lead hands-on implementation of core platform capabilities including storage, analytics, ML and GenAI elements
- Establish Infrastructure-as-Code (IaC) practices for platform deployment and automation
- Manage platform delivery roadmap and ensure timely execution of deliverables
- Oversee platform health, security, access controls, and cost optimization
- Act as the first-line platform operations lead during early-stage rollout
- Work closely with AI architecture, data engineering, developers, and business teams to align platform capabilities with their needs.
Skills to Succeed
- Bachelorās or Masterās degree in Computer Science, Engineering, or a related field
- 5 years of experience in data engineering, platform architecture, or infrastructure roles
- 1 year in a senior technical role delivering cloud-based data platforms
- Deep hands-on knowledge of Azure data services and Databricks
- Solid understanding of on-premise infrastructure integration (e.g., network, identity, hybrid storage, firewall, Azure Arc)
- Proven experience with IaC (e.g., Terraform, Bicep, ARM), for data platforms.
- Strategic thinker with the ability to balance technical depth and business impact
- Strong communicator who can collaborate across functions and with vendors
- Comfortable working in ambiguity and driving clarity in a new setup
- Strong grasp of data policies and cost management in cloud environments.
Rewards that Go Beyond
- Full suite of health and wellness benefitsĀ Ā
- Ongoing training and development programsĀ Ā
- Internal mobility opportunities
Your Career Growth Starts Here. Apply Now!
We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Architecture Azure Computer Science Databricks Engineering Excel Generative AI Machine Learning Open Source Security Terraform
Perks/benefits: Career development Health care Wellness
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