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Senior Delivery Consultant - AI/ML, Professional Services

Amazon· AWS Professional Services (ProServe)
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Milan€75.2kFull-timePosted yesterday

About the role

Delivery Consultant to design, implement, and manage AWS-based AI/ML solutions for customers, guiding them through cloud migrations and providing technical leadership and best practices throughout the project lifecycle.

Responsibilities

  • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  • Providing technical guidance and troubleshooting support throughout project delivery
  • Collaborating with stakeholders to gather requirements and propose effective migration strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Qualifications

  • 5+ years of experience designing and delivering cloud-based data and AI/ML solutions
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
  • Experience in software development with an object-oriented programming language (e.g., Python, Java)
  • Hands-on experience deploying and hosting generative AI or machine learning solutions in production, including model training or fine-tuning and inference
  • Working knowledge of machine learning, deep learning, and statistics
  • Experience designing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and agent-based architectures
  • Experience with LLM evaluation, guardrails, and MLOps/LLMOps, including monitoring, cost and performance optimization of inference, and AI security, privacy, and responsible AI practices
  • Experience in a customer-facing role, with excellent written and verbal communication skills and the ability to present technical solutions to technical and executive audiences

Skills

Required:AWS ProServe deliverySoftware development (Python/Java)GenAI/ML production deploymentRAG and vector databasesMLOps/LLMOpsLLM evaluationStakeholder collaborationCommunication (presenting to execs)

Benefits

  • Not explicitly listed in the excerpt
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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