Senior Specialist TAM - AI/ML, ES - EMEA-STAM

Are you passionate about Artificial Intelligence (AI) and Machine Learning (ML)? Do you like to solve the most complex and large-scale challenges in the world today? Would you like a career that gives you opportunities to help customers and partners that use cloud computing services to run their solutions faster, safer and at lower cost?

At AWS Enterprise Support we are looking for a Senior Specialist Technical Account Manager (STAM) to provide unique deep-dive technical engagements for our Enterprise customers across the EMEA. You would be one of the founding members of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations.

You will provide strategic technical guidance to proactively improve performance, reliability, security and cost-effectiveness of customers’ solutions using AWS best practices. This role will focus on AI/ML AWS services such as Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, and Amazon Comprehend.

This position will require the ability to travel 20% or more as needed.

We are open to hiring candidates to work out of one of the following locations:

London, GBR

Basic Qualifications

- Experience in design/implementation/operations/consulting with distributed applications
- Experience in technical engineering
- Bachelor's degree
- Internal enterprise or external customer-facing experience as a technical lead
- MSc or PhD in a relevant topic for AI/ML

Preferred Qualifications

- Meets/exceeds Amazon’s leadership principles requirements for this role
- Meets/exceeds Amazon’s functional/technical depth and complexity for this role
- Experience (5+ years) in either designing or supporting the AI/ML technologies, like Apache MxNet, TensorFlow, Amazon SageMaker, Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend and Amazon Rekognition.
- Company or regional-level recognition in the area of specialization.
- Ability to understand complex application data flows and bridge the gap between technical and business app requirements.
- 10+ years of technical engineering experience
- Experience in operational parameters and troubleshooting for four (4) or more of the following: Compute / Storage / Networking / CDN / Databases / DevOps / Big Data and Analytics / Security / Applications Development in a distributed systems environment
- Experience in Informational Technology operations
- Professional oral and written communication skills, presenting to an audience containing one or more decision maker(s)
- Experience with AWS services and/or other cloud offerings

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