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Singtel

Senior AI Solution Architect

Singtel is hiring a Senior AI Solution Architect in Singapore, Singapore. Level rates it ; you can apply on Singtel.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • The posting mentions LangChain, LangGraph and Bedrock among its tools and skills.
  • Level classes it as a senior role.
  • Singtel has 496 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

langchainlanggraphbedrocksagemakerdatabricks
ragai-agents

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 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.

 

Make an Impact by:

  • 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!

 

How we rate this

Senior AI Solution Architect at Singtel rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsLangChainLangGraphBedrockSageMakerDatabricks

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used LangGraph hands-on?
  5. Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, LangChain, LangGraph, and Bedrock. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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