Job Description
We are looking for a System Architect for a Bioinformatics start up powered by AI company based in Dubai.
Location – Dubai, UAE
Salary – Depending on Experience
Qualifications & Experience:
- Master’s degree in Computer Science, Information Systems, or a related engineering discipline.
- PhD or research-level experience in AI, data systems, or applied computing is an advantage.
- 10–15 years of experience in software and system architecture, including AI, ML, or data-intensive platforms.
- Proven expertise in:
- Enterprise and Solution Architecture (TOGAF preferred)
- AI/ML lifecycle management (MLOps, model serving, GPU optimization)
- Cloud architectures – Azure (Data Factory, Synapse, Kubernetes, DevOps), AWS (EKS, S3, RDS), or GCP
- Microservices, containerization, and orchestration (Docker, Kubernetes, OpenShift)
- Programming: Python, C++, C#, and relevant AI frameworks (PyTorch, TensorFlow, LangChain, Triton)
- Strong understanding of LLMs, RAG, multimodal AI, and inference scaling.
- Experience building high-performance systems for Smart City, Telecom, or Energy sectors.
- Deep knowledge of data governance, DevSecOps, and compliance frameworks.
- Ability to evaluate and customize Linux kernels, low-level systems, and edge device pipelines (e.g., RockChip, Raspberry Pi).
- Strong documentation, communication, and leadership skills.
- Strategic mindset with hands-on technical ability.
- Exceptional communication and stakeholder management.
Key Responsibilities:
- Architecture & Design
- Architect scalable, modular, and secure systems using microservices, event-driven, and serverless architectures.
- Design and integrate AI/ML and Generative AI systems, including LLM-based applications, Retrieval-Augmented Generation (RAG), and multimodal inference pipelines.
- Develop and oversee enterprise data platforms using cloud-native services (Azure, AWS, or hybrid multi-cloud setups).
- Define and maintain system integration standards, data governance frameworks, and architecture blueprints (aligned with TOGAF or similar frameworks).
- Optimize inference, model deployment, and edge computing architectures for real-time performance and cost efficiency.
- Technical Leadership
- Lead cross-functional technical teams spanning data engineering, AI, DevOps, and product delivery.
- Mentor engineering teams on architectural principles, best practices, and modern engineering paradigms.
- Serve as the technical authority in solution reviews, design decisions, and technology evaluations.
- Collaborate with R&D and Applied Science teams to translate prototype AI models into production-ready systems.
- Innovation & Research
- Stay ahead of trends in Generative AI, LLMOps, cloud orchestration, and edge intelligence.
- Drive experimentation and adoption of emerging frameworks (LangChain, Triton, TensorRT, or NIM) to optimize AI systems.
- Spearhead proof-of-concepts (PoCs) and pilot programs for internal and client-facing AI initiatives.
- Stakeholder & Vendor Engagement
- Collaborate with business and product teams to translate client requirements into robust, technical architectures.
- Engage with system integrators, cloud providers, and technology vendors to align architectural strategies.
- Contribute to RFPs, pre-sales technical proposals, and client presentations.
About the Role:
We are looking for a System Architect who will be responsible for designing, building, and guiding the implementation of large-scale AI, data, and software systems that power enterprise-grade solutions. This role blends deep technical architecture expertise with a strategic understanding of AI, data pipelines, and distributed computing, ensuring scalability, security, and performance across complex ecosystems.