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Senior Solutions Architect

Cedar Gate Technologies · Katmandou

Senior 🇬🇧 English
Generative AI Large Language Models Retrieval-Augmented Generation Vectorization Embeddings Vector databases Prompt engineering Cloud platforms Data warehousing Data engineering Analytics Enterprise architecture Scalability Security Observability Resiliency Performance optimization

Job description

About the role

The Senior Solutions Architect will shape and evolve enterprise architecture to support current and future products, platforms, and business goals. Working closely with business and technology leaders, you will define scalable, secure, and maintainable solutions that drive innovation and operational excellence.

Key responsibilities

  • Develop and enforce enterprise architecture standards, governance frameworks, reference architectures, and technology roadmaps.
  • Collaborate with stakeholders to translate product strategy into secure, scalable technology solutions.
  • Lead AI‑powered solution development, including Generative AI, Large Language Models, Retrieval‑Augmented Generation, vectorization, embeddings, vector databases, and prompt engineering.
  • Drive adoption of AI‑assisted software development practices to boost productivity and quality.
  • Conduct research, proof‑of‑concepts, and technology evaluations across cloud, AI, analytics, and emerging tech.
  • Provide architectural guidance across application, platform, integration, data, and infrastructure domains throughout the software development lifecycle.
  • Support enterprise data architecture initiatives such as analytics, reporting, data warehousing, and modern data engineering.
  • Mentor architects, engineers, and analysts on architecture principles, AI adoption, and best engineering practices.

Required profile

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
  • Minimum 5 years of experience in software development, solution architecture, enterprise architecture, or related technical leadership.

Required skills

  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval‑Augmented Generation (RAG)
  • Vectorization and embeddings
  • Vector databases
  • Prompt engineering
  • Cloud platforms
  • Data warehousing
  • Modern data engineering
  • Analytics
  • Enterprise architecture
  • Scalability, security, observability, resiliency, and performance optimization

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Cedar Gate Technologies

Katmandou