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Infrastructure Architect

2 months ago

Abu Dhabi, United Arab Emirates G42 Full time

Overview:
As the Infrastructure Architect at Inception, you will play a pivotal role in architecting, developing, and optimizing infrastructure for Inception’s advanced AI platforms. With a robust background in cloud and on-premises infrastructure design, you’ll focus on ensuring the scalability, security, and high performance of our AI systems. Collaborating closely with engineering and operations teams, you’ll work to enhance the infrastructure that supports AI workloads, with an emphasis on cloud optimization, networking, and storage.

Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer 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. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.

**Responsibilities**:

- Cloud & On-Premises Architecture: Develop cloud-based and on-premises infrastructure to meet AI/ML workload requirements for performance, scalability, and security.
- Collaboration with Key Teams: Work closely with engineering, DevOps, and product teams to optimize infrastructure for AI training, inference, and data processing.
- High Availability & Disaster Recovery: Build high availability and disaster recovery solutions to ensure the resilience of critical AI platforms.
- Networking Architecture: Design and implement robust networking solutions for secure and reliable connectivity across AI systems.
- Automation & Infrastructure as Code: Champion the use of automation and IaC, leveraging tools like Terraform, Ansible, and Kubernetes for streamlined infrastructure deployment and management.
- Cloud Efficiency & Cost Management: Implement best practices for cloud resource efficiency and cost-effectiveness while maintaining stringent security standards.
- Technology Evaluation & Integration: Continuously assess and integrate new technologies to enhance infrastructure capabilities in storage, networking, and cloud-native services.
- Compliance & Security: Ensure infrastructure adheres to regulatory and security requirements, focusing on data privacy, encryption, and access control.
- Technical Guidance: Provide mentorship and technical leadership to the infrastructure team, promoting best practices in infrastructure quality and efficiency.
- Industry Trends & Innovation: Stay current on industry advancements and drive infrastructure innovation to support evolving AI and technology trends.

Qualifications:
Qualifications & Requirements:

- Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
- Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
- Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
- Containerization & Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
- Networking & Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
- Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
- Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.

Skills and attributes for success
- Strategic Insight: Ability to design and implement infrastructure that aligns with both technical and business objectives.
- Problem Solving: Strong analytical skills, particularly in addressing challenges related to scalability, performance, and security.
- Leadership & Mentorship: Effective communicator with leadership capabilities to guide cross-functional teams and mentor junior engineers.

To qualify for the role you must have
- Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
- Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
- Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
- Containerization & Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
- Networking & Security