Job Summary
Overview
- We are looking for a AI Cloud Architect + developer who can design, develop, and deploy cloud-based solutions for our clients.
- You will be responsible for creating scalable, secure, and cost-effective cloud architectures that meet the business and technical requirements of the projects.
- You will also be involved in coding, testing, debugging, and troubleshooting cloud applications using various cloud services and tools.
- You will work closely with other developers, architects, and project managers to deliver high-quality cloud solutions that meet the client's expectations and deadlines.
Key Responsibilities
Responsibilities
- Design and develop AI cloud architectures and applications using AWS/ Azure/Google Cloud, or other cloud platforms.
- Conduct research and feasibility analysis for GenAI use cases relevant to the customer’s business.
- Review offshore deliverables to ensure adherence to best practices and quality standards before client submission.
- Collaborate with cross-functional teams to align technical solutions with business goals.
- Confidently articulate AI/ML concepts and practices to both technical and non-technical stakeholders.
- Integrate cloud solutions with existing systems and applications using APIs, microservices, and other methods.
- Optimize cloud resources and costs using automation, monitoring, and analytics tools.
- Document and communicate cloud architectures and applications using diagrams, reports, and presentations.
- Research and evaluate new cloud technologies and trends to improve the existing cloud solutions and create new opportunities.
Skill Requirements
Qualifications
- Bachelor's degree in computer science, engineering, or related field.
- At least 5-10 years of experience in cloud architecture and development using AWS/Azure/Google Cloud, or other cloud platforms.
- Strong hands-on experience in Scripting.
- Exposure to ML Ops practices and deployment workflows.
- Ability to mentor junior team members and guide solution design
- Knowledge of cloud services and tools such as EC2, S3, Lambda, CloudFormation, Azure Functions, App Service, Storage, Google Compute Engine, Cloud Storage, Cloud Functions, etc.
- frameworks and best practices.
- Experience in designing disaster recovery and business continuity plans for cloud environments.
- Knowledge of AI/ML services offered by GCP, Azure, and AWS.
- Experience in cloud cost optimization and financial management.