AI Solution Architect

About The Project Join Neurons Lab as Senior Solution Architect – a 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. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology #J-18808-Ljbffr