Associate Delivery Consultant – Aiml, Proserve A2c Delivery , Associate to Consultant (a2c)

Amazon Amazon · Big Tech · Arlington, VA · Software Development

This role is for an Associate Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and providing technical guidance. While the role mentions data and machine learning pipelines in preferred qualifications, the core responsibilities are centered around general AWS cloud consulting and solution delivery, not direct AI/ML model development or research.

What you'd actually do

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

Skills

Required

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • Experience in one of the following programming languages: Java, Python, Ruby, Node.js, C#, or C
  • Experience in cloud architecture and implementation

Nice to have

  • AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
  • Experience in Data platform implementation
  • Hands on experience with building data or machine learning pipeline
  • Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)
  • Hands on experience working on large-scale data science/data analytics projects
  • Experience Implementing AWS services in a variety of distributed computing, enterprise environments