Client Solution Architect

HackerTrail; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

HackerTrail is seeking a Client Solution Architect to drive architecture discussions and design for agentic AI systems across APAC’s banks, telcos, insurers, and retailers. You will lead enterprise-wide architecture efforts, shaping credible solutions and validating delivery feasibility while collaborating with commercial teams to structure engagements.

The role requires deep expertise in enterprise data architecture, agentic AI systems, cloud modernization, security, governance, and

Qualifications

• 10+ years of experience in solution architecture and related areas.
• Experience leading end-to-end enterprise technical pursuits, including definition and validation.
• Hands-on AI tools, coding assistants, workflow automation tools, and prototyping platforms experience.

Responsibilities

• Lead architecture workshops and technical discussions with client CTOs, CIOs and enterprise teams.
• Design scalable, secure, production-ready architectures across AI, data, cloud, and modernization initiatives.
• Build and own proofs-of-concept (POCs) independently using AI tools and accelerators.
• Define security, governance, performance, scalability and operational requirements from the start.

Skills

Solution architecture

Enterprise cloud architecture

AI transformation

Enterprise technology consulting

English fluency

Tools

AI tools

Coding assistants

Workflow automation tools

Prototyping platforms

Job description

About the role

Client Solution Architect Our client is building agentic AI systems for leading banks, telecommunications companies, insurers, and retailers across Asia Pacific. They work on high-impact problems for institutions operating the financial and digital infrastructure of the region. The Solution Architect is the technical authority during enterprise pursuits and strategic solution engagements. You will lead architecture discussions, shapes technically credible solutions, validates delivery feasibility, and supports commercial teams in structuring scalable and deliverable engagements. This role operates across the company's core offerings including Agentic Data Modernisation, Agentic Process Transformation, and VM Migration. The role requires strong working knowledge across enterprise data architecture, agentic AI systems, cloud infrastructure, security, governance, and enterprise modernization patterns, with deep expertise in at least one domain area. What You Will Do Lead technical solution design across enterprise pursuits and strategic client engagements. Conduct architecture workshops and technical discussions with client CTOs, CIOs, CDOs, enterprise architects, AWS architects, engineering leadership, and transformation teams. Design scalable, secure, and production-ready enterprise architectures across AI, data, cloud, and modernization initiatives. Build and own proof-of-concepts (POCs) independently using AI tools and engineering accelerators. Define security, resilience, governance, compliance, performance, scalability, and operational requirements as core architecture inputs from the beginning of the engagement. Stay involved through mobilisation and early delivery phases to ensure the Forward Deployed Architect (FDA) inherits the engagement with full architectural context, rationale, risks, assumptions, and delivery alignment.

What you'll bring

What We Are Looking For 10+ years of experience in solution architecture, enterprise cloud architecture, AI transformation, or enterprise technology consulting within complex multi-stakeholder environments. Strong experience leading enterprise technical pursuits end-to-end including architecture definition, solution shaping, estimation, proposal ownership, and technical validation. Strong AI fluency and hands‑on experience using AI tools, coding assistants, workflow automation tools, and prototyping platforms as part of day-to-day architecture and solution development activities. Cross-domain technical understanding across enterprise data architecture, agentic AI systems, cloud modernization, security, infrastructure, and enterprise integration patterns. Strong experience leading proof-of-concepts, technical validations, architectural workshops, and enterprise solution discussions. Strong understanding of agentic AI systems, RAG architectures, orchestration patterns, data platform architectures, and enterprise AI operational challenges. Fluency in spoken and written English is required across all markets.