AI Solution Architect

Neurons Lab

Estonia · Full-time · Mid-Senior

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

Key Skills

Ranked by relevance

cloud aws ai aws cdk fastapi python infrastructure as code machine learning docker excel mlops ecs

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