Architect AI Solutions

Job Title

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• Architect AI Solutions">

Description

The successful candidate will serve as the technical expert in architecting end-to-end AI solutions across a range of business areas.

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.

Key Responsibilities

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• 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 AI platform, encompassing Agentic AI, AI Workbench and Tooling, Model Garden, and AI Runtime environments.">
• Lead 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 based on enterprise goals and technical fit">
• Collaborate with engineering and data teams to operationalize AI models, ensuring architectural alignment, scalability, and lifecycle support">
• Define and enforce architectural standards, reusable design patterns, 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 and assess their applicability within the enterprise">

Required Skills and Qualifications

To succeed in this role, you should possess the following skills:

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• Bachelor's or Master's degree in Computer Science, Engineering, Data, AI/ML, or related field">
• More than 5 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 and integrating end-to-end AI workflows, including data pipelines, model orchestration, and serving APIs across hybrid cloud environments">
• 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">
• 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">

Benefits

We offer a comprehensive benefits package, including:

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• Full suite of health and wellness benefits">
• Ongoing training and development programs">
• Internal mobility opportunities">

Why Work With Us

Join a team of innovative thinkers who are shaping the future of AI and data analytics. We're committed to fostering a collaborative and inclusive environment where everyone feels valued and supported.

Apply now to take the first step towards an exciting career opportunity.