Senior Delivery Consultant – AI/ML (Professional Services)

About the role

Amazon Web Services Professional Services is looking for a Senior Delivery Consultant with deep AI/ML expertise to help customers design, build and modernize AI‑powered applications on AWS. You will work directly with enterprise clients in Israel, guiding them from discovery through production deployment.

Key responsibilities

• Design end‑to‑end AI‑enabled application architectures aligned with business goals and AWS best practices.
• Lead customer engagements, conduct AI readiness assessments and deliver Well‑Architected reviews for ML workloads.
• Guide cross‑functional teams in implementing generative AI solutions, RAG systems, chatbots and real‑time inference pipelines.
• Implement MLOps using SageMaker for model versioning, automated deployment and continuous improvement.
• Mentor customer teams and junior consultants on responsible AI, bias detection and governance frameworks.

Required profile

• 10+ years of software development experience and 5+ years in machine learning, statistical modeling or data mining.
• Master’s degree in Computer Science, Engineering, Mathematics or equivalent experience.
• Willingness to travel to customer sites as needed.
• Experience delivering AI solutions in consulting, systems integration or similar professional services environments is a plus.

Required skills

• Programming languages: Python, C/C++, Java, Perl.
• Deep knowledge of AWS services: SageMaker, Amazon Bedrock, compute, storage, networking, security, databases, serverless.
• Machine‑learning techniques: NLP, computer vision, recommendation systems, predictive analytics.
• Design and implementation of data pipelines and ETL processes for model training and inference.
• MLOps practices: model versioning, deployment automation, monitoring and observability.

What we offer

• Work‑life harmony with flexible working arrangements.
• Inclusive team culture with employee‑led affinity groups and mentorship programs.
• Opportunities for continuous learning, knowledge sharing and speaking at industry events.