9 дней назад
AI Solution Architect
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solution Architect (Generative AI/RAG): Designing AI architectures, enterprise platforms, and data integration solutions for enterprise clients with an accent on Generative AI, Agentic AI, LLMs, RAG, governance, and compliance. Focus on translating business requirements into technical designs, leading architecture workshops and delivery, and building secure, scalable solutions for regulated and complex enterprise environments.
Location: Central Singapore
Salary: $0–$0 per month
Company
is an established technology consulting company delivering AI and digital transformation solutions for enterprise clients.
What you will do
- Design AI architectures, enterprise platforms, integration solutions, data flows, and technical roadmaps.
- Apply Generative AI, Agentic AI, Large Language Models, and Retrieval-Augmented Generation to enterprise use cases.
- Translate business requirements into practical technical designs from planning through implementation.
- Lead technical workshops, present architecture recommendations, and support client decision-making.
- Establish AI governance, security, privacy, and compliance controls.
- Lead delivery across developers, engineers, and cross-functional teams while supporting pre-sales, proposals, and RFPs.
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.
Nice to have
- Experience in 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.
- Relevant cloud, AI, or enterprise architecture certifications.
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