Solution / Enterprise Architect

WHAT YOU WILL DO:

• Design the architectural framework for implementing custom AI models on the client’s infrastructure, ensuring scalability and flexibility.
• Work with the pre-sales team to guide clients on the technical roadmap for deploying AI solutions, including POCs and MVPs.
• Ensure that AI models are compatible with the client’s existing infrastructure and that technical frameworks support future expansion.
• Lead discussions on model architecture, cloud deployment, and integration with the client’s systems.
• Collaborate with the business consultant and data scientists to ensure the AI models deliver business value and are easily integrated into client operations.

WHAT YOU WILL NEED:

• Extensive experience in solution architecture, particularly in AI/ML environments.
• Ability to design scalable AI solutions that integrate with existing systems and infrastructure.
• Strong leadership and communication skills, with the ability to manage complex client engagements.

Technical Skills:

• Cloud Platforms: Proficiency in deploying AI solutions on AWS, Azure, or Google
• Cloud platforms, with knowledge of cloud architecture and best practices.
• System Integration: Experience with integrating AI models into enterprise systems, including legacy infrastructure.
• Architectural Frameworks: Familiarity with microservices architecture, RESTful APIs, and event-driven systems to ensure AI solutions are flexible and scalable.
• AI/ML Tools: Proficiency in Python and Python ML frameworks such as TensorFlow, PyTorch, and deployment tools like ONNX for integrating AI models into client systems.