Senior AI Solution Architect at Greenfix Property Care

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solution Architecture, Data Pipeline Design, API Integration, Cloud-native Architectures, Model Deployment, Cybersecurity Compliance, Technical Leadership, Collaboration Skills, Technical Writing, Emerging Technologies, AI Workflows, Open-source Tooling, Stakeholder Management, AI/ML Systems, Hybrid Cloud Environments, Prototyping

Industry

Household Services

Description

Overview To lead the next phase of our AI evolution, we've launched a new business unit AIDA - Artificial Intelligence & Data Analytics - a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business. At Singtel, this is more than a technology upgrade. It's a strategic transformation that redefines how value is created across the enterprise core-augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence empowers people. We welcome you to join us on a transformational journey that's reshaping the telecommunications industry - and redefining what's possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do. Be a Part of Something BIG! Role As a Senior AI Solution Architect, you will serve as the technical expert in architecting enterprise-grade and end-to-end AI solutions across Singtel. Working within the AI & Data Analytics (AIDA) business unit, you will drive the design, integration, and deployment of scalable AI workflows that are secure, interoperable, and business-aligned. This role sits at the intersection of data, platforms and business systems that plays a critical role in translating AI vision into actionable architecture and technical designs. You will collaborate with cross-functional teams across Networks, IT, and external partners to ensure that AI solutions are integrated seamlessly into existing infrastructures and future-ready ecosystems. Responsibilities Design end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on-prem environments Architect and deliver solutions for the Central AI platform, encompassing Agentic AI, AI Workbench and Tooling, Model Management, shared RAG service, MCP, AI Runtime environments, etc Develop solution blueprinting by translating business needs into technical architecture, including selecting appropriate tools, frameworks, and infrastructure for AI model development and operations Integrate AI capabilities with internal APIs, enterprise platforms and user-facing applications in IT and Networks including LLM-based and agentic workflows Ensure secure and compliant architecture in collaboration with cybersecurity and governance teams, embedding PDPA and enterprise policy requirements into designs Evaluate and recommend AI platforms and tools (e.g. Portkey, Databricks, open-source toolkits) based on enterprise goals and technical fit Collaborate with AI engineering and data teams to operationalize AI models, ensuring architectural alignment, scalability, and lifecycle support Contribute to proof-of-concepts (PoCs), technical evaluations, and prototyping efforts under supervision Stay current with AI technologies and best practices in integration, model lifecycle management, and platform operations Participate in architecture reviews, technical discussions, and sprint planning with cross-functional teams. Define and enforce architectural standards, reusable design patterns, open-standard, and reference implementations to streamline AI deployment across business units Provide technical leadership in prototyping, experimentation, vendor technology evaluations, and innovation pilots Stay updated on emerging AI technologies such as vector databases, context-aware agents, orchestration protocols (e.g. LangChain, LangGraph, MCP, A2A, etc) and assess their applicability within the enterprise Responsible for leading solutioning activities and managing a small development team consists of AI engineer and application developer for selected use cases Skills for Success Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field. 3 to 5 years of experience in solution architecture in AI/ML platform integration, data pipeline design and API-driven systems Proven expertise in designing and integrating end-to-end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments Experience in designing AI/ML systems, cloud-native architectures, and API ecosystems. Hands-on experience with cloud-based AI services such as Microsoft Azure ML, AI Foundry, AWS SageMaker, Bedrock, including model deployment, monitoring, and scaling. Familiar with open-source/open-standard tooling for AI and agentic framework. (e.g. Portkey or equivalent) Proficient in API architecture and integration standards with experience enabling secure and scalable interfaces between AI models and enterprise system. Experience with tools and frameworks such as LangChain, LangGraph, GraphRAG, Retrieval-Augmented Generation (RAG), Ray, Kubeflow, and related AI/ML orchestration technologies. Capable to evaluate and integrate new AI technologies, frameworks, and vendor solutions into enterprise environments Effective collaboration skills to work across data, API, ML or AI platform teams, with a clear communication style to bridge business and technical stakeholders. Good internal (IT, Networks, business) and external (suppliers, government) stakeholders management skills Strong technical writing and presentation skills, with the ability to communicate complex concepts clearly to both technical and non-technical stakeholders. Proactive and fast learner with a strong drive to stay current on emerging technologies and industry trends. Familiarity with the telco domain, IT systems, and data-driven use cases, with strong technical acumen and a keen interest in emerging AI and data technologies. Are you ready to say hello to BIG Possibilities? Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!

Responsibilities

Design and architect enterprise-grade AI solutions that integrate seamlessly into existing infrastructures. Collaborate with cross-functional teams to ensure scalable and secure AI workflows across hybrid cloud and on-prem environments.