Job Description

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