Solution Architect

Overview

Inception AI is driving the UAE’s AI revolution with cutting-edge AI Research and Development initiatives. As a Solutions Architect, you will work closely with AI researchers, data scientists, software engineers, and key stakeholders to design and implement innovative AI solutions that are both precise and scalable. This role offers the unique opportunity to shape AI solutions that will define industry standards and elevate business efficiencies.

The Opportunity

Join a growing team in a rapidly expanding market as we scale our AI Platform to meet increased demand from various industries. Our team is at the center of AI innovation, developing technologies that partner with industry leaders like Microsoft and collaborating with top universities to push the boundaries of what AI can achieve. This role is part of our strategic growth, driven by the increasing adoption of AI solutions across the region, providing you with a platform to lead impactful projects that directly influence the AI landscape.

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

Responsibilities

In this role, you will be responsible for designing and implementing innovative AI solutions that align with client needs and drive efficiency.

• Solution Architecture (40%): Design and architect scalable AI solutions leveraging Inception’s AI Orchestrator platform, ensuring robust, efficient, and secure deployments.
• Technical Leadership (25%): Provide expert guidance on AI system design, collaborate with cross-functional teams, and mentor junior engineers to foster a culture of excellence.
• Stakeholder Engagement (20%): Work closely with clients, product teams, and engineering leads to understand requirements, propose AI solutions, and ensure successful implementation.
• Innovation and Development (10%): Continuously explore and integrate new technologies to enhance our AI offerings and stay ahead of industry trends.
• Documentation and Compliance (5%): Ensure solutions adhere to compliance standards and best practices, maintaining thorough documentation of architecture and processes.
  
  
  

Qualifications

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• Minimum of 5 years of experience in AI architecture, software design, or related fields, particularly with AI platforms, products, or applications.
• Strong expertise in programming languages such as Python, JavaScript, Java, or similar, with a focus on developing and deploying AI/ML Platforms.
• Deep understanding of system design principles, including experience with modular monolithic, microservices, and event-driven architectures.
• Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and AI-specific services. More specifically, with Microsoft Azure stack solutions.
• Proficiency in containerization technologies such as Docker and Kubernetes, enabling scalable and efficient deployments.
• Familiarity with message queue technologies like RabbitMQ and Kafka for managing data workflows.
• Excellent problem-solving and debugging skills, with the ability to design innovative AI solutions to complex challenges.
• Ability to lead technical discussions, guide cross-functional teams, and mentor engineers in best practices and architecture standards.
• Strong communication and interpersonal skills, adept at engaging with clients, stakeholders, and technical teams.
  
  
  

Preferred Qualifications

• Experience with agent-based AI or reasoning agents.
• Knowledge of data engineering, big data processing, and AI model optimization.
• Prior experience in a startup or fast-paced R&D environment.
  
  
  

Skills and Attributes for Success

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• Extensive experience in backend development, especially with AI-driven applications, demonstrating a deep understanding of AI architectures and design patterns.
• Proven experience contributing to open-source projects, reflecting a commitment to community engagement and staying updated with the latest technological advancements.
• A strong portfolio showcasing your work on complex AI or backend projects, highlighting your technical capabilities and innovative solutions.
  
  
  

To Qualify for the Role, You Must Have:

• Strong verbal and written communication skills.
• Strong proficiency in programming languages such as Python, R, JavaScript or similar, with hands-on experience in developing AI models and integrating them into large-scale applications.
• Extensive knowledge of cloud platforms including Microsoft Azure solutions
• Demonstrated ability to lead technical discussions, guide cross-functional teams, and mentor junior engineers.
  
  
  

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 unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space 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 personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Work-Life: A hybrid work policy to strike the perfect balance between office and home.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.