Technical Architect

Company Overview

IAI Solution is at the forefront of applied artificial intelligence where foundational research seamlessly integrates with real-world applications. Based in Bengaluru, our expertise lies in creating intelligent systems that collaborate in teams, adapt contextually, and provide actionable insights across various domains. As a growing player in the IT System Custom Software Development industry with 11-50 employees, we are dedicated to pushing the boundaries of technology.

Job Overview

As a Senior Technical Architect at IAI Solution, you will play a pivotal role in shaping the architecture of cutting-edge AI systems and solutions. This full-time position is based in our Bengaluru office and is designed for experienced professionals with up to 10 years of work experience in the IT sector. You will be tasked with leveraging your deep knowledge in cloud computing, machine learning, and cloud-native development.

Qualifications and Skills

• Proven expertise in cloud computing, enabling scalable and reliable infrastructure design (Mandatory skill).
• Extensive experience in machine learning technologies to design intelligent models and systems (Mandatory skill).
• Proficiency in cloud-native development, ensuring applications are designed to function in cloud environments (Mandatory skill).
• Comprehensive understanding of solution architecture to create and implement efficient software solutions.
• Solid experience with DevOps practices to streamline software development, deployment, and operations processes.
• Competence in project management to manage and coordinate multiple projects efficiently.
• Excellent problem-solving skills to address complex technical challenges and design effective solutions.
• Strong leadership abilities to mentor and guide technical teams towards achieving architectural goals.

Roles and Responsibilities

• Design and develop innovative technical architectures for AI systems and solutions.
• Collaborate with cross-functional teams to deliver scalable and robust software systems.
• Lead the integration of cloud-native technologies within existing and new projects.
• Oversee the implementation of machine learning models and ensure their alignment with business objectives.
• Champion best practices in cloud computing and DevOps to enhance operational effectiveness.
• Conduct thorough analysis of existing systems and propose enhancements or new solutions as needed.
• Mentor and guide junior architects and developers to foster a collaborative and innovative work environment.