Technical Architect

Core42 Technology Projects LLC; Abu Dhabi; Hybrid; AED 200,000 - 300,000; Full time

Job summary

A leading company in AI-driven initiatives is seeking a Technical Architect to shape architecture strategies. You will collaborate across teams, ensuring systems are scalable and secure while driving innovation in AI solutions. This role offers a hybrid work policy and competitive rewards.

Benefits

Healthcare

Education support

Leave benefits

Qualifications

• Extensive experience in technical architecture and Azure services.
• Hands-on experience with data flow and ETL pipelines.

Responsibilities

• Define and support infrastructure teams in setting up scalable cloud platforms.
• Implement monitoring and optimization strategies for data platforms.

Skills

Problem Solving

Collaboration

Automation

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Azure

Docker

Kubernetes

Terraform

Job description

Join to apply for the Technical Architect role at Core42

Overview

As a Technical Architect at Inception, 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-wide 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.

The opportunity

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. We collaborate with top universities and industry giants to drive significant advancements in AI technology within the region.

Responsibilities

Your key 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 using observability tools.
• 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.

Required Tech Stack

• Programming and Development : Proficiency in languages like Python, PySpark, with a focus on technical solutions.
• Data Management : Structured & unstructured data pipelines, Delta Lake, SQL, NoSQL, Azure Data Factory.
• ML & AI Workloads : Model inferencing pipelines, MLOps, Data versioning, integration with AI / ML models.
• Microservices and Integration : Expertise in microservices architecture, RESTful APIs, GraphQL, and service mesh technologies.
• Security and Compliance : In-depth understanding of security standards and compliance requirements.
• DevOps and Automation : Experience with CI / CD pipelines, containerization tools like Docker and Kubernetes, and Infrastructure as Code (IaC) tools like Terraform.

Qualifications

Skills and attributes for success

• Hands-on experience designing and optimizing Azure cloud architectures for data and AI workloads.
• Strong knowledge of data flow, ETL pipelines, and cloud-native architectures.
• Ability to collaborate with data engineers, ML engineers, and DevOps teams to drive projects.
• Strong problem-solving and debugging skills for cloud and big data pipelines.
• Passion for automation, scalability, and performance optimization.

To qualify for the role you must have

• 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.
• Success in delivering large-scale Data & AI-driven products & solutions.
• Deep understanding of architectural principles, system design, and technology strategy.
• Strong background in CI / CD for data engineering and MLOps.

What we look for

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create customer-centric solutions. Bias for action and a passion to conquer new frontiers in AI is at the heart of the Inception community.

What working at Inception offers

• Culture : An open, diverse, and inclusive environment with a global vision that encourages growth and innovation.
• Career : Learning, development & growth opportunities via training programs and high-tech projects.
• Work-Life : Hybrid work policy for balance between office and home.
• Rewards : Competitive package with perks including healthcare, education support, and leave benefits.

If you meet the criteria, please contact us as soon as possible.

• Seniority level : Mid-Senior level
• Employment type : Full-time
• Job function : Engineering and Information Technology
• Industries : IT Services and IT Consulting

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