AI Solution Architect

About The Project

Join Neurons Lab as Senior Solution Architect - the role combining technical AI/ML and Cloud solutions development with cloud department operational leadership. You'll lead day-to-day cloud operations (50%) while leading hands-on AI/ML implementations for BFSI clients (50%).

Our Focus: We specialize in serving Banking, Financial Services, and Insurance (BFSI) enterprise customers with stringent compliance, security, and regulatory requirements. You'll architect and build mission-critical AI/ML systems while ensuring our cloud operations run smoothly - from AWS funding applications to team capacity planning.

This role is ideal for technical professionals who excel at both execution AND coordination. You'll manage AWS/GCP partnership operations (funding, governance, hiring coordination) while staying technically sharp through hands-on AI/ML and Cloud architecture and implementation work.

Objective

Deliver operational excellence and technical leadership across cloud operations and AI/ML project delivery:

Cloud Operations Management: Maintain 95%+ AWS funding success rate, coordinate hiring pipeline, execute cloud governance processes, and support AWS/GCP partnership programs
AI/ML Technical Project Leadership: Design and implement production-grade AI/ML architectures on AWS for FSI clients, ensuring Well-Architected compliance and security best practices
Operational Efficiency: Streamline cloud department processes through automation, capacity planning, and cross-functional coordination
Knowledge Transfer: Create reusable IaC components, architectural patterns, and documentation that accelerate team capability

Areas of Responsibility

Prepare funding application materials and communicate with AWS/GCP account teams
Coordinate recruitment pipeline: candidate tracking, interview scheduling, capacity planning
Execute Well-Architected Review scheduling and delivery coordination
Support competency applications with documentation and evidence collection
Design end-to-end cloud architectures for AI/ML/Agentic solutions
Calculate ROI, TCO, and cost-benefit analysis for proposed AI/ML solutions
Build production infrastructure using AWS CDK (primary) and Terraform
Develop Python applications: FastAPI backends, MLOps automation, data processing scripts
Lead small engineering teams (2-3 engineers) on project delivery

Skills

Solution architecture with ability to translate business requirements into technical designs
AWS Well-Architected framework expertise and remediation experience
Cloud cost optimization, credits management, and consumption tracking
AWS/GCP partnership programs knowledge (PoC funding, MAP, Well-Architected Reviews)
Advanced Python programming for API development with FastAPI or Flask
Deploy infrastructure with Infrastructure as Code (AWS CDK and Terraform)
Hands-on experience with AWS Bedrock and Langchain or other AI agentic frameworks
Containerization for AI Applications (Docker, ECS, EKS)

Knowledge

AWS Certified Solutions Architect Professional (required) OR AWS Certified Machine Learning - Specialty (required)
Working knowledge of AWS Partner Network structure and funding programs
Understanding of PoC funding, MAP program, and ISV Workload Migration
Well-Architected Review process and delivery methodology
AWS competency requirements and evidence collection

Experience

5+ years in cloud architecture, solution architecture, or cloud engineering roles
2+ years working with AI/ML workloads on cloud platforms
Proven track record designing and implementing cloud solutions from scratch
Hands-on experience deploying and managing AI or Generative AI solutions in production

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