Principal Delivery Consultant- Genai/ml & Data Science, Professional Services, Aws Industries

Amazon Amazon · Big Tech · Dallas, TX · Machine Learning Science

This role focuses on designing, implementing, and delivering GenAI and ML applications for enterprise customers on AWS. The consultant will act as a trusted advisor, providing technical guidance and collaborating with stakeholders to build custom AI tools and solutions, with a strong emphasis on customer success and project delivery.

What you'd actually do

  1. Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  2. Produce AI-native deliverables - custom AI tools for customers rather than static documents or generic artifacts
  3. Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  4. Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
  5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

Required

  • 8+ years of cloud architecture and solution implementation experience
  • Bachelor's degree in Computer Science, Math, or a related field
  • Experience managing and delivering large-scale enterprise IT projects
  • Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.)
  • Experience with software development life cycle (sdlc) and agile/iterative methodologies

Nice to have

  • degree in advanced technology, or AWS Professional level certification
  • Knowledge of compliance and security standards across the enterprise IT landscape
  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
  • Knowledge of security and compliance standards including HIPAA and GDPR
  • Experience implementing AWS services in a variety of distributed computing environments
  • Experience managing executive customer relationships and key business stakeholders
  • Experience with enterprise architecture frameworks (like TOGAF, Zachman) and identifying the relationships between business services, information, applications and global infrastructure assets
  • Experience with enterprise systems including SAP, Oracle, and custom applications
  • Experience in performance optimization and cost management for cloud environments
  • Experience explaining technical concepts in pre-sales environments

What the JD emphasized

  • Must have both business fluency AND technical capability
  • Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.)
  • Knowledge of security and compliance standards including HIPAA and GDPR

Other signals

  • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  • Produce AI-native deliverables - custom AI tools for customers rather than static documents or generic artifacts
  • Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  • Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies