A Solution Architect designs and integrates complex systems to solve specific business or technical problems using advanced technologies. They collaborate with stakeholders to understand requirements, create detailed architectural plans, and ensure that solutions are scalable, efficient, and aligned with organizational goals. Additionally, they provide guidance on best practices for deploying and managing AI and HPC solutions, ensuring that the architecture supports both current and future needs.
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Responsibilities
- Align architectural solutions with business objectives, ensuring they address specific problems and add value to the organization.
- Develop robust and scalable system architectures that can efficiently handle large-scale AI and HPC workloads.
- Ensure that the systems are optimized for performance, leveraging advanced computing resources and algorithms to meet high-speed processing requirements.
- Integrate diverse technologies and platforms to create cohesive solutions that align with the company's goals and technical requirements.
- Design systems with high availability, reliability, and security to protect sensitive data and maintain operational integrity.
- Work closely with stakeholders, including engineers, data scientists, and business leaders, to gather requirements and ensure the solution meets their needs.
- Oversee the implementation of architectural solutions, providing guidance and support to development teams to ensure successful deployment.
- Stay updated with the latest advancements in AI and HPC technologies to recommend and incorporate cutting-edge solutions.
- Identify potential risks in system design and operation and develop strategies to mitigate them.
- Ensure that solutions comply with industry standards, regulations, and best practices for data management and computational processes.
Qualifications
Required Skills and Qualifications
- A bachelor's or master’s degree in Computer Science, Engineering, or a related field is typically required. Relevant certifications (e.g., Azure AI 900, AWS Certified Solutions Architect, Google Professional Data Engineer) can be advantageous.
- 5+ years of relevant experience is required, including roles in software engineering, systems architecture, or specialized in HPC (High-Performance Computing) solutions, Data Enablement, Cognitive Services.
- Familiarity with cloud platforms and services.
Preferred Skills and Qualifications
- Strong understanding of AI and HPC technologies, including hardware (like GPUs, CPUs, and networking) and software (like machine learning frameworks, parallel computing, and data management solutions).
- Knowledge of current trends in AI and HPC, including emerging technologies and industry applications.
- Ability to plan, execute, and manage complex projects, including scope, timelines, and resource management.
Work Conditions
- Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
- Work-Life: A hybrid work policy to strike the perfect balance between office and home.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
