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 (Pro Serve). 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, Sage Maker, 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 Pro Serve 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 Sage Maker 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
• Knowledge Sharing & Thought Leadership
• Develop reusable assets, reference architectures, and best practice documentation
• Contribute to AWS Pro Serve knowledge base and customer-facing content
• Present at customer events, workshops, and industry conferences
• Stay current with emerging AI technologies and AWS service innovations
• Share learnings across the Pro Serve organization

A day in the life
AWS Professional Services helps enterprise customers accelerate their cloud journey through expert guidance, implementation support, and knowledge transfer. As part of Pro Serve, you'll work directly with customers to architect and implement transformative AI solutions while building long-term strategic relationships.

About the team
You'll be joining the Israel Professional Service team, a dynamic organization that provides comprehensive AWS consulting services to customers across all market segments—from startups and SMBs to large enterprises and public sector organizations. Our team has a proven track record of delivering complex, high-impact projects including data center migrations, landing zone implementations, AI/ML solutions, and modernization initiatives.

The Israel Professional Services team is known for its technical excellence, customer obsession, and collaborative culture. We work across diverse industries including government, finance, healthcare, agriculture, and technology, bringing deep AWS expertise and innovative solutions to help Israeli organizations transform their businesses. As part of our team, you'll collaborate with talented architects, data engineers, and consultants while contributing to the growth and evolution of AWS Professional Services.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 10+ years of experience in application architecture and software development
• 5+ years of hands-on experience with AI/ML technologies and frameworks (Tensor Flow, Py Torch, scikit-learn, Hugging Face)
• Deep expertise in AWS cloud platform with focus on AI/ML services (Sage Maker, Bedrock, Comprehend, Rekognition, etc.)
• Proficiency in programming languages such as Python, Java, or similar
• Strong knowledge of generative AI technologies including LLMs, prompt engineering, fine-tuning, and RAG architectures
• Understanding of various AI domains: NLP, computer vision, recommendation systems, predictive analytics
• Willingness to travel to customer sites as needed

Preferred Qualifications

• Master's degree in computer science, machine learning, engineering, or related fields
• AWS Certified Machine Learning Specialty or AI Practitioner or Generative AI - Associate
• Contributions to open-source AI projects or published research
• Experience with responsible AI frameworks, governance practices, and compliance requirements
• Prior experience in Pro Serve, consulting, or systems integration roles

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.