Senior Technical Architect

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development.

Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions.

Beyond its commercial endeavors, Inception is committed to creating positive societal impact.

For more information, please visit www.inceptionai.ai Overview: As a Senior 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.

What You’ll Own Develop and maintain the technical architecture framework to support business objectives and technology strategies.

Lead the evaluation, selection, and integration of new technologies and frameworks across the organization.

Provide strategic guidance and oversight for large-scale AI and technology initiatives.

Design and oversee the implementation of scalable, secure, and high-performance AI solutions.

Mentor and guide architects and technical teams in best practices and innovative solutions.

Monitor technology trends and advocate for the adoption of emerging technologies where applicable.

Required Tech Stack Technical Architecture: Deep experience with frameworks such as TOGAF, Zachman, or similar.

Programming and Development: Proficiency in languages like Python, Java, and JavaScript, with a focus on technical-level solutions.

AI and Machine Learning: Familiarity with frameworks like TensorFlow, PyTorch, and technical AI platforms.

Cloud Platforms: Expertise in AWS, Microsoft Azure, and Google Cloud Platform (GCP).

Data Management: Advanced knowledge of SQL, NoSQL databases, and big data solutions (e.g., Hadoop, Spark).

Microservices and Integration: Expertise in microservices architecture, RESTful APIs, GraphQL, and service mesh technologies Qualifications: What We’re Looking For Proven ability to lead technical-scale architectural transformations.