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.

Location:

London, England, United Kingdom

• Cloud Operations Management:
  Maintain a 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.

• 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.

• 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).

• 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.

• 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.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• IT Services and IT Consulting