Delivery Consultant – AI, AWS Professional Services
Job ID: 10442064 | AWS EMEA SARL (UK Branch)
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. As a key player in driving customer success, you will provide technical expertise and best practices throughout the project lifecycle, architect complex, scalable, and secure solutions, gather requirements, assess current infrastructure, and propose effective migration strategies. You will also serve as a trusted advisor, guiding customers on industry trends, emerging technologies, and innovative solutions while ensuring best practices, optimizing performance, and managing risks.
Key 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
Basic Qualifications
- Experience as a technical specialist in design and architecture
- Experience in database technologies such as SQL, NoSQL, Hadoop, Spark, Kafka, and Kinesis
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in cloud‑based solutions (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
Preferred Qualifications
- 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 such as EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive
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