Solution Architect | Data, AI & Cloud Architecture | Qatar

Applab

Qatar

On-site

QAR 260,000 - 420,000

Full time

14 days+
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Job summary

Applab is seeking an experienced Solution Architect to lead the design and delivery of scalable, secure enterprise applications across Data, AI, and Cloud environments. You will work with PM, Data, AI, and DevOps teams to address architectural challenges and ensure integration throughout the SDLC.

The role offers career growth in cloud architecture, data platforms, generative AI, and DevOps. Candidates should have extensive senior technical experience and strong stakeholder communication skills.

Qualifications

  • Extensive experience in solution architecture and senior technical roles.
  • Strong knowledge of Azure Data platforms and cloud architecture.
  • Experience with Generative AI solutions and SDLC processes.

Responsibilities

  • Lead architecture and design of scalable, secure enterprise solutions.
  • Design solutions across Data, AI, and Cloud environments.
  • Collaborate with PM, Data, AI, and DevOps teams to address challenges.
  • Define architectural standards and best practices.
  • Translate business requirements into scalable technical architectures.
  • Drive architectural decisions with stakeholders.
  • Ensure alignment with SDLC and enterprise standards.
  • Oversee enterprise-grade application architectures.
  • Evaluate requirements, dependencies, risks, and integrations.
  • Support Azure Data platforms and cloud-based solutions.
  • Contribute to generative AI architecture including RAG, AI agents, LLMs.
  • Provide client-facing technical leadership and clear communication.
  • Collaborate with DevOps for scalable delivery.

Skills

Solution architecture
Cloud architecture
Azure data platforms
Generative AI
DevOps practices
Stakeholder management

Tools

Azure

Job description

Location

Qatar

Job Category
  • Information Technology (IT) & Software
  • Engineering & Technical
  • Telecommunications
Job Overview

Applab is seeking a highly experienced Solution Architect to lead the design and delivery of scalable, secure, and high-performance enterprise applications across Data, Artificial Intelligence (AI), and Cloud environments. The role requires close collaboration with Project Management, Data, AI, and DevOps teams to address technical challenges and establish effective architectural practices.

The successful candidate will work closely with technical and business stakeholders to define architectural decisions, align solutions with business and user requirements, and ensure effective integration throughout the Software Development Life Cycle (SDLC). The position involves designing enterprise-grade solutions that prioritize scalability, security, performance, and maintainability.

This opportunity offers strong potential for career growth and professional development in solution architecture, cloud computing, data platforms, generative AI, and DevOps. Exposure to emerging technologies such as RAG, AI agents, and Large Language Models (LLMs) can further support long-term technical leadership and architectural expertise.

Key Responsibilities
  • Lead the architecture and design of scalable, secure, and high-performance enterprise solutions.
  • Design solutions across Data, AI, and Cloud environments.
  • Collaborate with Project Management, Data, AI, and DevOps teams to address technical and architectural challenges.
  • Define architectural standards, principles, best practices, and technical approaches.
  • Translate business and user requirements into scalable technical architectures.
  • Work with technical and business stakeholders to drive key architectural decisions.
  • Ensure solutions align with SDLC processes and enterprise technology standards.
  • Design and oversee enterprise-grade application architectures.
  • Evaluate technical requirements, dependencies, risks, and integration considerations.
  • Support the implementation of Azure Data platforms and cloud-based solutions.
  • Contribute to the architecture of Generative AI solutions, including RAG, AI agents, and LLM-based applications.
  • Provide client-facing technical leadership and communicate complex architectural concepts effectively.
  • Collaborate with DevOps teams to support scalable and reliable solution delivery.
Requirements & Qualifications
  • Extensive professional experience in Solution Architecture or a related senior technical role.
  • Strong experience designing enterprise-grade applications and scalable architectures.
  • Hands-on knowledge of Azure Data platforms.
  • Strong understanding of Cloud Architecture and cloud-based application design.
  • Experience with Generative AI solutions, including:
    • Retrieval-Augmented Generation (RAG)
    • AI agents
    • Large Language Models (LLMs)
  • Strong understanding of DevOps practices and SDLC processes.
  • Ability to collaborate effectively with Data, AI, DevOps, Project Management, and business teams.
  • Strong understanding of technical architecture principles and best practices.
  • Excellent stakeholder management and communication skills.
  • Ability to provide client-facing technical leadership.
  • Strong analytical and problem-solving capabilities.
  • Ability to align technical solutions with business and user requirements.
Salary, Benefits & Career Growth

Salary and compensation details have not been provided for this position.

The role provides significant exposure to cloud architecture, Azure Data platforms, Generative AI, RAG, AI agents, LLMs, DevOps, and enterprise application architecture. This combination of technologies can support advanced professional development and long-term career progression in enterprise solution architecture.

Continued training, cloud and AI certifications, architecture development, and upskilling in emerging AI technologies can further strengthen career growth toward positions such as Lead Solution Architect, Enterprise Architect, Cloud Architect, AI Architect, or Chief Technology Architecture roles.

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