Senior Delivery Consultant - Modernization, Professional Services Israel

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. We are seeking an experienced Senior Delivery Consultant - Modernization with deep expertise in Artificial Intelligence to join AWS Professional Services (ProServe). This role combines strategic architectural vision with hands-on technical leadership to deliver innovative AI solutions that drive customer success and business transformation across diverse industries and use cases. Key job responsibilities

* Architecture & Design: Design and architect end-to-end AI-powered application solutions aligned with customer business objectives and technical requirements. * Define application architecture patterns, standards, and best practices for AI/ML integration on AWS. * Create technical roadmaps for customer AI application development and modernization initiatives * Evaluate and recommend AWS AI/ML services and technologies including Amazon Bedrock, SageMaker, and generative AI solutions * Design data pipelines and ETL processes to support AI model training and inference using AWS services * Customer Engagement & Consulting: Lead customer engagements from discovery through implementation, serving as trusted technical advisor * Conduct AI readiness assessments and develop adoption strategies tailored to customer maturity levels * Facilitate architecture workshops and design sessions with customer stakeholders * Deliver Well-Architected reviews focused on AI/ML workloads * Build strong relationships with customer technical teams and executive leadership * Guide customers in constructing AI processes aligned with AWS best practices * Technical Leadership: Lead cross-functional teams in implementing AI solutions from concept to production * Provide technical guidance on AI model integration, deployment strategies, and optimization on AWS * Conduct architecture reviews ensuring solutions meet scalability, performance, security, and cost-efficiency requirements * Mentor customer teams and junior ProServe consultants on AI best practices and AWS technologies * Collaborate with data scientists, ML engineers, and software developers to translate AI models into production applications * AI Solution Development: Design architectures for generative AI applications including RAG (Retrieval-Augmented Generation) systems, chatbots, and intelligent agents using Amazon Bedrock * Architect real-time and batch AI inference pipelines with appropriate monitoring and observability * Implement MLOps practices using SageMaker for model versioning, deployment automation, and continuous improvement * Design solutions for responsible AI including bias detection, explainability, and governance frameworks * Optimize AI application performance, cost, and resource utilization across AWS services