Artificial Intelligence Technical Architect
2 days ago
About the Position:
We are seeking an experienced Artificial Intelligence Technical Architect to join our team at G42 Group. As an Artificial Intelligence Technical Architect, you will be responsible for designing and implementing innovative AI solutions that align with client needs and drive efficiency.
Key Responsibilities:
- AI Solution Design (50%): Design and implement scalable AI solutions using G42's AI Orchestrator platform, ensuring robust, efficient, and secure deployments.
- Technical Leadership (30%): Provide expert guidance on AI system design, collaborate with cross-functional teams, and mentor junior engineers to foster a culture of excellence.
- Stakeholder Engagement (15%): Work closely with clients, product teams, and engineering leads to understand requirements, propose AI solutions, and ensure successful implementation.
- Documentation and Compliance (5%): Ensure solutions adhere to compliance standards and best practices, maintaining thorough documentation of architecture and processes.
Requirements:
- 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.
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