AI Solution Architect
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Job Summary
About Sunbytes
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.
About the Opportunity
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.
Key Responsibilities
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
Requirements
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
Benefits
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
How to Apply
For more details contact:
Linh Nguyen - Senior Talent Acquisition
Phone/Zalo/Whatsapp: (84)
Required Skills:
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.
