AI Solution Architect

Sunbytes is a fast-growing Tech and Talent Solutions company built on collaboration, innovation, and trust. With offices in Vietnam and the Netherlands, we deliver high-quality software development, dedicated team setups, and strategic recruitment services for international clients. At Sunbytes, we combine technical excellence with a people-first approach - empowering both our partners and our talents to achieve sustainable success.

We are looking for an experienced AI Solution Architect to lead AI adoption and design production-ready AI solutions for enterprise clients. This role combines solution architecture, AI platform design, pre-sales consulting, and delivery enablement.

You will work closely with clients, pre-sales, engineering, data, product, and leadership teams to turn business problems into secure, scalable, and measurable AI solutions.

1) Client Consulting & Pre-sales

• Partner with pre-sales and account teams to shape AI opportunities in proposals, workshops, and RFP/RFI responses.

• Analyze client business challenges and translate them into feasible AI solution options.

• Define solution scope, architecture approach, estimates, risks, and implementation roadmap.

• Present architecture and technical recommendations to both technical and business stakeholders.

2) AI Solution Architecture

• Design end-to-end architectures for AI-enabled applications and enterprise systems.

• Define integration patterns between AI components and existing enterprise platforms.

• Ensure non-functional requirements are addressed: security, scalability, reliability, observability, and cost.

• Produce architecture artifacts (HLD/LLD, standards, templates, and reference patterns).

3) AI Platform & Engineering Enablement

• Design and guide implementation of AI platform capabilities, including LLM apps, RAG pipelines, AI agents, model routing, and monitoring.

• Standardize AI engineering practices: prompt patterns, evaluation approach, guardrails, and quality gates.

• Mentor engineering teams and support project teams in adopting AI-native development workflows.

• Lead PoCs / R&D AI project and convert successful prototypes into production-ready implementations.

4) Cloud, Data & Integration

• Architect cloud-native AI solutions on AWS, Azure, or GCP.

• Collaborate with data teams on data platform integration, vector search, and governance requirements.

• Define scalable patterns for API, microservices, and event-driven AI workloads.

• Work with DevOps teams on CI/CD and Infrastructure as Code for AI services.

5) Technical Consultant

• Establish practical governance standards for enterprise AI delivery.

• Ensure compliance with data privacy, security, and audit requirements.

• Define risk controls for LLM/GenAI systems (hallucination, prompt injection, data leakage).

• Work with security and compliance stakeholders to operationalize responsible AI.

• Propose and review technical solutions for development team

• Code review and mentor team member to do code review when needed

Experience

• 7+ years in Solution Architecture / Enterprise Architecture / Platform Architecture.
  
• 2+ years with AI/ML or Generative AI solution delivery.
  
• Experience working in cross-functional and client-facing environments (outsourcing/consulting is a plus).
  

Technical Skills

• Strong understanding of LLMs, RAG, AI agents, prompt design, and AI evaluation/monitoring.
  
• Hands-on experience with at least one AI framework/toolset (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent).
  
• Solid cloud architecture knowledge (AWS/Azure/GCP), plus Kubernetes, API design, microservices, CI/CD, and IaC.
  
• Good understanding of data architecture, vector databases, streaming, and enterprise integration patterns.
  

Communication & Leadership

• Strong stakeholder communication and workshop facilitation skills.
  
• Ability to explain complex AI concepts to business users in clear language.
  
• Strong problem-solving mindset with balance between innovation and delivery constraints.
  
• Professional English communication for client collaboration.
  

Preferred Qualifications

• Experience building enterprise AI platforms or internal AI accelerators.
  
• Experience with architecture governance and technology standards in large organizations.
  
• Experience leading AI transformation programs across multiple teams.
  

What Success Looks Like

• AI solutions are delivered to production with measurable business impact.
  
• Increased AI adoption across delivery teams and client engagements.
  
• Reusable architecture patterns and AI platform capabilities are established.
  
• Better delivery productivity, quality, and time-to-market.
  
• Governance and security standards are consistently applied in AI projects
  
  

• A challenging and supportive work environment with opportunities to develop your career

• A dynamic and international team, providing a great career journey

• 16 days annual leave

• 3 sick days per year

• 4 creative days per year where you can explore new techniques and possibilities

• Premium Health Insurance 24/7

• Cover Social Insurance as local law

Send your updated resume to [Confidential Information]

For more details, contact:
Linh Nguyen - Senior Talent Acquisition
Phone/Zalo/Whatsapp: (+84) 974 593 024