Job Description

Singapore, Singapore
Company: Singtel Group
Powering the Future with AIDA
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!
As a Lead AI Solution Architect, you will play a dual role in architecting enterprise-grade AI solutions and leading a team of AI engineers to deliver scalable, secure, and business-aligned AI applications across Singtel.
In the architecture scope, you will design and integrate end-to-end AI workflows across data, model, and application layers, ensuring interoperability, compliance, and alignment with enterprise standards. You will work closely with cross-functional teams across Networks, IT, and partners to translate AI strategies into actionable, reusable solutions.
In the team leadership scope, you will guide and mentor AI and software engineers through the full development lifecycle from prototype to production ensuring technical excellence and timely delivery. You will foster collaboration, innovation, and continuous learning to build a high-performing AI engineering team.
Make an Impact by:

• Design and review end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, software development and business system integration across hybrid cloud and on-prem environments
• Architect and deliver solutions for the AI platform, encompassing Agentic AI, AI Workbench and Tooling, Model Garden, and AI Runtime environments.
• Publish design principle and reference AI solution patterns including selecting appropriate tools, frameworks, and infrastructure for AI model development and operations
• Provide technical leadership in proof-of-concepts, innovation pilots, and vendor technology evaluations to accelerate adoption of emerging AI capabilities.
• Define reusable design patterns, reference implementations, and open standards to streamline AI deployment and ensure architectural consistency across business units.
• Stay at the forefront of AI and software advancements, including vector databases, context-aware agents, and orchestration protocols (e.g. LangChain, LangGraph, MCP, A2A), assessing their relevance and integration potential within the enterprise.
• Lead and contribute to architecture reviews, design forums, and technical discussions to drive alignment across IT, Networks, and partner ecosystems.
• Champion a culture of continuous improvement and innovation, ensuring the enterprise remains future-ready in AI platform and application development.
• Lead and mentor a team of AI engineers and junior solution architects.
• Assign tasks and review deliverables to ensure technical quality and alignment with architectural standards.
• Provide hands-on technical guidance and support throughout the solution development lifecycle.
• Foster a collaborative, innovative, and high-performing team culture.
• Conduct regular feedback and performance reviews to support professional growth.
• Drive continuous improvement in engineering practices, code quality, and solution design.
• Coordinate with cross-functional teams to ensure timely and successful project delivery.
• Accountable and responsible for the architecture, end-to-end solution design, and successful delivery of AI solutions.

Skills for Success:

• Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field.
• 5 to 10 years of experience in solution architecture or technical leadership roles, with a strong focus on AI platform integration and API-driven systems
• Proven expertise in designing, reviewing and approving end-to-end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments
• Demonstrated experience in leading and managing development teams focused on software engineering and AI solution delivery.
• Strong background 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.
• Experience with tools and frameworks such as LangChain, LangGraph, GraphRAG, Retrieval-Augmented Generation (RAG), MLflow, Kubeflow, and related AI/ML orchestration technologies.
• Strong technical acumen with a deep understanding of software architecture, development frameworks, and best practices.
• Proficient in API architecture and integration standards (REST, GraphQL, gRPC), with experience enabling secure and scalable interfaces between AI models and enterprise systems
• Strong understanding of containerization, virtual machines, microservices, and MLOps tools (e.g. MLflow, Kubeflow, Airflow, CI/CD pipelines)
• Demonstrated ability to evaluate and integrate new AI technologies, frameworks, and vendor solutions into enterprise environments
• Communicates complex AI concepts clearly and confidently to diverse audiences, including executives and technical teams.
• Effectively manages stakeholders across business, IT, and network domains to gain alignment and drive successful adoption of AI solutions.
• Collaborates seamlessly across cross-functional teams, bridging technical and non-technical groups to ensure smooth communication and delivery.
• Adapts quickly to evolving technologies and shifting business priorities, maintaining focus on long-term enterprise value.
• Strong technical writing and presentation skills, with the ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
• 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!

Skills Required