As a Technical Architect, you will play a pivotal role in shaping the overarching architecture strategy for our AI-driven initiatives. You will work across teams to align business objectives with technology strategies, drive technical architectural decisions, and ensure our systems are scalable, secure, and aligned with best practices. Your expertise will be instrumental in driving innovation and ensuring the successful delivery of transformative AI solutions.
Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer a domain-specific Agentic AI Orchestrator platform utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency while collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
Work Conditions:
- Full-time position
- Hybrid work policy allowing a balance between office and home environments
Responsibilities:
- Platform Design: Define and support infrastructure teams in setting up a scalable, cost-effective Cloud or On-Prem for Data & ML platforms.
- Observability & Optimization: Implement monitoring, logging, and optimization strategies for cloud and data platforms.
- CI/CD for Data & ML: Define CI/CD pipelines for data ingestion, transformation, and AI model deployment.
- Data & Storage Strategy: Design data flow, ontology, schemas, storage strategies, and component-level design for structured, unstructured, and ML output data.
- Security & Governance: Ensure role-based access control (RBAC), data security, and compliance are enforced in all data engineering and AI workflows.
- Cross-Functional Collaboration: Work with data engineers, ML engineers, and DevOps teams to build scalable data and ML platforms.
- Technical Leadership: Conduct feasibility analysis, define component-level design, and provide technical guidance for scalable Data & AI platforms.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Extensive experience in technical architecture and hands-on expertise with Azure/On-prem services.
- Strong knowledge of data flow, ETL pipelines, and cloud-native architectures.
- Hands-on experience designing and optimizing Azure cloud architectures for data and AI workloads.
- Ability to collaborate with teams to drive cross-functional projects.
- Strong problem-solving and debugging skills for cloud and big data pipelines.
- Passion for automation, scalability, and performance optimization.
Skills and Attributes for Success:
- Strong background in CI/CD for data engineering and MLOps.
- Demonstrated success in delivering large-scale, Data & AI-driven products & solutions.
- Deep understanding of architectural principles, system design, and technology strategy.
Language Requirements:
- Proficiency in languages such as Python and PySpark.
If you meet the criteria for this position and are eager to explore opportunities in building innovative AI solutions, we encourage you to apply.
