Back to jobsJob overview

About the role

Senior Delivery Consultant- GenAI/ML, AWS, Industries at Amazon Web Services, Inc.

Required Skills

awsgenaimachine learningdeep learningpythonsagemakercloud architecturesecurity compliance

About the Role

Senior Delivery Consultant role focused on designing and implementing complex GenAI/ML solutions on AWS for enterprise customers. Responsibilities include providing technical guidance, collaborating with stakeholders, and acting as a trusted advisor on emerging technologies. The role requires deep expertise in AWS AI/ML services and cloud-based solution architecture.

Key Responsibilities

  • Design, implement, and build complex, scalable, and secure GenAI/ML applications and models on AWS
  • Provide technical guidance and implementation support throughout project delivery using AWS AI/ML services
  • Collaborate with customer stakeholders to gather requirements and propose effective model training and deployment strategies
  • Act as a trusted advisor to customers on industry trends and emerging technologies
  • Share knowledge within the organization through mentoring, training, and creating reusable artifacts

Required Skills & Qualifications

Must Have:

  • 5+ years of cloud-based solution (AWS or equivalent), system, network and operating system experience
  • Bachelor's degree in computer science, engineering, mathematics or equivalent
  • Experience in software development with object oriented language
  • 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

Nice to Have:

  • AWS Professional level certification
  • Masters or PhD degree in computer science, or related technical, math, or scientific field
  • Strong working knowledge of deep learning, machine learning and statistics
  • Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
  • Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
  • Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts to non-experts
  • Knowledge of security and compliance standards (e.g., HIPAA, GDPR)

Benefits & Perks

  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans)
  • 401(k) matching
  • Paid time off and parental leave
  • Flexible work arrangements and work-life balance support
  • Sign-on payments and restricted stock units (RSUs) for salaried roles
  • Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line