Ai Solution Architect

About The ProjectJoin Neurons Lab asSenior 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 servingBanking, 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.ObjectiveDeliver 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 programsAI/ML Technical Project Leadership: Design and implement production-grade AI/ML architectures on AWS for FSI clients, ensuring Well-Architected compliance and security best practicesOperational Efficiency: Streamline cloud department processes through automation, capacity planning, and cross-functional coordinationKnowledge Transfer: Create reusable IaC components, architectural patterns, and documentation that accelerate team capabilityAreas of ResponsibilityPrepare funding application materials and communicate with AWS/GCP account teamsCoordinate recruitment pipeline: candidate tracking, interview scheduling, capacity planningExecute Well-Architected Review scheduling and delivery coordinationSupport competency applications with documentation and evidence collectionDesign end-to-end cloud architectures for AI/ML/Agentic solutionsCalculate ROI, TCO, and cost-benefit analysis for proposed AI/ML solutionsBuild production infrastructure using AWS CDK (primary) and TerraformDevelop Python applications: FastAPI backends, MLOps automation, data processing scriptsLead small engineering teams (2-3 engineers) on project deliverySkillsSolution architecture with ability to translate business requirements into technical designsAWS Well-Architected framework expertise and remediation experienceCloud cost optimization, credits management, and consumption trackingAWS/GCP partnership programs knowledge (PoC funding, MAP, Well-Architected Reviews)Advanced Python programming for API development with FastAPI or FlaskDeploy infrastructure with Infrastructure as Code (AWS CDK and Terraform)Hands-on experience with AWS Bedrock and Langchain or other AI agentic frameworksContainerization for AI Applications (Docker, ECS, EKS)KnowledgeAWS Certified Solutions Architect Professional (required) OR AWS Certified Machine Learning - Specialty (required)Working knowledge of AWS Partner Network structure and funding programsUnderstanding of PoC funding, MAP program, and ISV Workload MigrationWell-Architected Review process and delivery methodologyAWS competency requirements and evidence collectionExperience5+ years in cloud architecture, solution architecture, or cloud engineering roles2+ years working with AI/ML workloads on cloud platformsProven track record designing and implementing cloud solutions from scratchHands-on experience deploying and managing AI or Generative AI solutions in production