As a Cloud AI Architect you will be responsible for design, software development, implementation and maintaining scalable cloud solutions. This role requires ability to automate, optimize and enhance cloud infrastructure and services. This role offers a unique opportunity to work on cutting-edge research and development requirements, collaborate with industry experts, and make a tangible impact on the development of advanced systems.

Roles and Responsibilities:

- Cloud Infrastructure Management: Design, deploy, manage scalable, reliable and secure cloud solutions using AI frameworks.

- Automation and Scripting: Develop scripts and tools for automation of cloud operations and infrastructure management (e.g. using Python, Typescript or similar).

- Develop and Integrate AI-rich differential features. Drive Innovation and ensure seamless Integration of advanced AI features.

- Manage and prioritize the product backlog ensuring timeline for new capabilities aligns with service goals. Continually evaluate effectiveness of existing workflows, systems, and integration points versus latest technologies.

- Develop prototypes to validate proposed technical solutions and demonstrate new systems and features to the engineering and TPM teams. Ensure robust integration of cloud solutions with applications.

- Setup monitoring solutions and optimize cloud costs, performance, security and reliable delivery.

- Provide technical leadership collaborating with PM, Engineering, Operations, QA, and Programming teams. Ensure architectural documentation remains accurate and up-to-date.

Skills and Experience Required:

- Must have experience in an Architect role (preferably at a reputable media-oriented company).

- Programming Skills: Proficiency in Python, JavaScript/TypeScript or similar languages.

- Infrastructure as Code (IaC): Experience with tools like AWS CDK, CloudFormation, or Terraform for managing infrastructure.

- Experience with microservices and relative knowledge about Kubernetes, Docker or other container orchestration tools.

- Knowledge of DevOps, Cloud Security, and Database.

- APIs and Serverless: Familiarity with building and deploying RESTful APIs and serverless applications.

- Proven track record of integrating AI features with Cloud platforms. Experience with vision models is a plus.

- Proficiency in AI frameworks and tools such as TensorFlow, PyTorch, or similar.

- Excellent problem-solving skills and the ability to lead diverse teams.

- Strong communication skills and the ability to present complex ideas clearly.

Qualifications/Certifications Required:

- Education: PhD/M.Tech/B.Tech in Computer Science, Electrical Engineering, or a related field with specialization in AI/ML is preferred.