As an AI Technical Architect, you will be at the forefront of designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address critical business challenges. You will lead the architectural vision for complex AI initiatives, translating strategic objectives into robust, scalable, and high-performance technical designs.

Key Responsibilities :

- Architect and design end-to-end AI/ML platforms and solutions, ensuring scalability, reliability, and security for enterprise-wide deployment.

- Lead the technical evaluation and selection of AI/ML technologies, frameworks, and cloud services, aligning choices with strategic goals and industry best practices.

- Drive the implementation of MLOps principles and best practices, establishing robust pipelines for model development, deployment, monitoring, and governance.

- Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, technical excellence, and continuous improvement.

- Engage with business stakeholders to understand their challenges, articulate AI solution capabilities, and define technical roadmaps that deliver tangible business value.

- Oversee the integration of AI solutions with existing enterprise systems, ensuring seamless data flow and operational efficiency.

Required Skillset :

- Demonstrated expertise in designing and implementing large-scale, distributed AI/ML systems and architectures across various domains.

- Profound understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and their practical application.

- Experience in Video Analytics is mandatory

- Gen AI, Agentic AI, IOT

- Strong proficiency in programming languages such as Python coupled with a deep understanding of software engineering principles.

- Exceptional ability to communicate complex technical concepts effectively to both technical and non-technical audiences, fostering strong stakeholder relationships.

- Proven track record of leading technical teams, mentoring engineers, and driving architectural decisions in a fast-paced, evolving environment.

- Strategic thinking with a proactive approach to identifying emerging AI trends and technologies, and assessing their potential impact and adoption.

- A Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field from a premier institution.