AI Solution Architect

About the projectAsegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato.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.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 xsgfvud 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#J-18808-Ljbffr