Ai Solution Architect

JobsTrackR; Singapore; In loco; SGD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

JobsTrackR in Singapore seeks an AI Solution Architect to lead the design of AI architectures, enterprise platforms and data integration solutions, translating business requirements into practical technical designs from planning through implementation.

You will collaborate with business stakeholders and technical teams, drive governance and security controls for AI deployments, and guide delivery across engineers and cross-functional teams.

Competenze

• Experience in solution architecture, technical architecture or technology consulting.
• Strong understanding of Generative AI, Agentic AI, LLMs and RAG.
• Experience with APIs, enterprise platforms, data integration and system architecture.
• Understanding of AI governance, security and compliance requirements.
• Strong communication, stakeholder management and technical leadership skills.
• Experience delivering complex enterprise technology projects.
• Relevant cloud, AI or enterprise architecture certifications are advantageous.

Mansioni

• Design AI architectures, enterprise platforms and data integration solutions.
• Turn business requirements into practical technical designs, from planning through implementation.
• Lead technical workshops and present architecture recommendations to clients.
• Establish AI governance, security, privacy and compliance controls.
• Lead technical delivery across developers, engineers and cross-functional teams.
• Support pre-sales activities, proposals, RFPs and solution design.
• Identify opportunities to modernise legacy systems and improve business processes through AI and automation.
• Ensure solutions meet enterprise architecture standards and business requirements.

Conoscenze

Solution architecture

Generative AI & LLMs

APIs & data integration

AI governance & security

Stakeholder communication

Enterprise tech delivery

Cloud / EA certifications

Descrizione del lavoro

AI SOLUTION ARCHITECT

1.1 The Role

• Join an established technology consulting team delivering AI and digital transformation solutions for enterprise clients.

• Lead the design of AI architectures, enterprise platforms and data integration solutions.

• Turn business requirements into practical technical designs, from initial planning through to implementation.

• Work with business stakeholders, technical teams and senior decision-makers to deliver scalable solutions.

• Help organisations adopt AI securely, with a focus on governance, compliance and responsible use.

1.2 Key Responsibilities

• Design solutions using Generative AI, Agentic AI, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

• Develop solution architectures, integration designs, data flows and technical roadmaps.

• Lead technical workshops and present architecture recommendations to clients.

• Establish AI governance, security, privacy and compliance controls.

• Lead technical delivery across developers, engineers and cross-functional teams.

• Support pre-sales activities, proposals, RFPs and solution design.

• Identify opportunities to modernise legacy systems and improve business processes through AI and automation.

• Ensure solutions meet enterprise architecture standards and business requirements.

Requirements

• Experience in solution architecture, technical architecture or technology consulting.

• Strong understanding of Generative AI, Agentic AI, LLMs and RAG.

• Experience with APIs, enterprise platforms, data integration and system architecture.

• Understanding of AI governance, security and compliance requirements.

• Strong communication, stakeholder management and technical leadership skills.

• Experience delivering complex enterprise technology projects.

• Relevant cloud, AI or enterprise architecture certifications are advantageous.

Preferred Experience

• Experience across financial services, public sector, healthcare or other regulated industries.

• Background in consulting or client-facing technology delivery.

• Exposure to cloud platforms, enterprise data solutions and AI deployment.