Delivery Consultant - Ai, Aws Professional Services

Amazon Amazon · Big Tech · London, United Kingdom · Sales, Advertising, & Account Management

This role is for a Delivery Consultant focused on designing, implementing, and managing AWS solutions for customers. While it mentions AI and machine learning services, the core responsibility is cloud solution delivery and customer consulting, not direct AI/ML model development or research. The role involves guiding customers on cloud adoption, migration strategies, and leveraging AWS services, including those related to AI/ML, to achieve business outcomes. The "Basic Qualifications" mention experience building large-scale ML and AI solutions, but the overall context points to a consulting and implementation role rather than a core AI/ML craft role.

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

  • Experience as technical specialist in design and architecture
  • Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
  • Experience in consulting, design and implementation of serverless distributed solutions
  • Experience in cloud based solution (AWS or equivalent), system, network and operating system
  • Experience in external or internal customer facing, complex and large scale project management
  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
  • Experience building large-scale machine learning and AI solutions at Internet scale

Nice to have

  • PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems
  • Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)

What the JD emphasized

  • Experience building large-scale machine learning and AI solutions at Internet scale