AI Cloud Solution Architect & Engineer @ Neurons Lab
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About The Project
Join Neurons Lab as an AI Cloud Solution Architect & Engineer - a unique hybrid role combining strategic solution design with hands-on engineering execution. You will bridge the gap between client requirements and technical implementation, designing AI/ML architectures and building them using modern cloud infrastructure practices.
Our Focus
Neurons Lab specializes in serving Banking, Financial Services, and Insurance (BFSI) enterprise customers with stringent compliance, security, and regulatory requirements. Work on mission-critical AI/ML systems where security architecture, data governance, and regulatory compliance are paramount.
Role Objective
Deliver end-to-end AI cloud solutions by combining architectural excellence with hands-on engineering. Responsibilities include gathering requirements, designing cloud architectures, building production-grade infrastructure using IaC (AWS CDK/Terraform), developing APIs and prototypes, and managing AI workload operations.
Key Responsibilities
- Solution Architecture (40%): Elicit requirements, design scalable AI/ML solutions, and produce technical proposals.
- Cloud Engineering & AI Infrastructure (60%): Build cloud infrastructure with AWS CDK, Terraform, develop Python applications, and implement CI/CD pipelines.
- Security & Compliance: Ensure solutions meet regulatory requirements and follow AWS Well-Architected standards.
- Client & Knowledge Transfer: Participate in presales, technical demos, and document reusable artifacts.
Key skills/competency
- AWS
- Cloud Architecture
- IaC
- Python
- CI/CD
- DevOps
- Security
- Compliance
- AI/ML
- Solution Design
How to Get Hired at Neurons Lab
🎯 Tips for Getting Hired
- Customize your resume: Highlight AWS, IaC, and AI/ML experience.
- Review cloud best practices: Understand AWS Well-Architected standards.
- Prepare technical demos: Showcase hands-on infrastructure projects.
- Practice interview scenarios: Focus on client engagement and solution design.