Agent Solution Architect

Tectura; Hong Kong; On-site; HKD 900,000 - 1,100,000; Full time

Job summary

Tectura seeks an Senior Solution Architect in Hong Kong to own end-to-end architectures for AI, data, and agentic solutions. You will lead client discovery, solutioning, and governance, turning business requirements into secure, scalable architectures and reference packs for proposals.

You will partner with account teams to deliver demos, validate security, reliability, and cost, and guide CoE delivery squads on implementation trade-offs and risk management.

Qualifications

• 8–12+ years in solution architecture or technical leadership delivering enterprise solutions.
• Strong ability to translate business requirements into secure, scalable architectures.
• Experience with cloud, integration patterns, identity/access fundamentals, and governance.

Responsibilities

• Lead architecture-led client discovery, solutioning, and delivery governance.
• Create reference architectures, ADRs, and architecture packs for proposals.
• Guide CoE and delivery squads on implementation approaches and risk management.
• Ensure readiness gates with security/compliance teams and SOW alignment.
• Develop reusable CoE assets and templates for multiple customers.

Skills

Solution architecture

Technical leadership

Stakeholder management

Cloud architecture

Integration patterns

Operational readiness

Tools

Azure

Copilot Studio

Dynamics 365

Open‑source LLMs

Job description

Own the end-to-end architecture for AI, data, and agentic solutions delivered by Tectura. This role leads client discovery, solutioning, and delivery governance, converting business requirements into secure, scalable, and supportable architectures. The Architect is accountable for reference architectures and technical standards that enable repeatable delivery for F&O and BC projects, including Copilot/agent solutions and open-source LLM offerings.

Key Responsibilities

Lead architecture-led discovery workshops with client stakeholders; translate outcomes into target-state solution architecture, scope, and delivery approach.

Own solution narrative and executive-ready architecture packs for proposals (assumptions, risks, estimates, and implementation roadmap).

Partner with account teams to deliver high-impact demos and technical workshops; support solution qualification and objection handling.

Define acceptance criteria and non-functional requirements early to de-risk delivery and strengthen SOWs.

Delivery & Governance

Produce and maintain HLD/LLD, architecture decision records (ADRs), and integration patterns; ensure alignment to standards and client constraints.

Lead design reviews; validate that solutions are fit-for-purpose across security, reliability, performance, and cost.

Guide engineering teams (CoE + F&O/BC delivery squads) on implementation approach, trade-offs, and technical risk management.

Ensure operational readiness gates are met with the Service Transition Manager and Security / Compliance Governors.

CoE Assets & IP

Develop and maintain reusable reference architectures and accelerators (agent patterns, RAG patterns, deployment patterns) that can be adopted across customers.

Continuously improve CoE standards, templates, and governance processes based on delivery feedback and post-implementation learnings.

Architecture packs for pursuits (target architecture, estimate inputs, delivery approach, risks/assumptions).

Delivery architecture artifacts: HLD/LLD, ADRs, integration patterns, NFR checklists, and readiness sign-off inputs.

Reusable CoE reference architectures and templates (agent patterns, grounding/RAG patterns, deployment patterns).

Required Skills & Experience

8–12+ years in solution architecture / technical leadership delivering enterprise solutions (consulting or SI environment).

Strong stakeholder management, workshop facilitation, and written documentation skills (architecture docs, proposals, and executive materials).

Broad understanding of cloud architecture, integration patterns, identity/access fundamentals, and operational readiness considerations.

Ability to estimate and plan delivery, manage technical risks, and guide multi-disciplinary teams.

Preferred / Advantageous

Experience with Microsoft ecosystem (M365, Copilot Studio, Dynamics 365) and/or open-source LLM deployments in enterprise contexts.

Experience defining evaluation/quality gates for LLM/agent solutions and implementing responsible AI guardrails.

Relevant certifications (e.g., Azure architecture, security, or solution architecture frameworks) are an advantage.