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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