Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Are you passionate about Artificial Intelligence, Machine Learning, Deep Learning and Generative AI? Do you want to build state of the art solutions using AWS AIML services for some of biggest AWS customers? Would you like a career that gives you opportunities to help customers and partners that use cloud computing services to run their AIML solutions reliably, securely, efficiently and at lower cost?

Key job responsibilities

At AWS, we're seeking a Senior Specialist Technical Account Manager (STAM) to be a trusted advisor and help our customers achieve operational excellence at scale. In this role, you'll leverage your extensive technical knowledge to ensure our customers' AI/ML solutions are flexible, scalable, and resilient on the AWS platform.

In this role you will provide unique deep-dive AI/ML technical engagements for our customers. You will be a member of a dynamic team bringing the latest in disruptive, cutting-edge AI/ML technologies, focused on enabling organisations to adopt AWS AI/ML services to drive their businesses.

Additionally, you'll play a crucial role in enhancing our overall AI/ML capabilities by enabling and upskilling our AWS teams. This is a post-sales advisory role within our Strategic Industries Enterprise Support team, where you'll have the opportunity to further develop your technical, leadership, and consulting skills.

A day in the life

In this deeply technical and consultative role, you will provide strategic people, process and technology guidance to ensure enterprise support customers realise the benefits of AI/ML and Generative AI, whilst embedding operational excellence from day 1. You will partner with TAMs, SAs and service teams to provide customers with AWS AI/ML best practice guidance, diving deep into AI/ML services, promoting customers AIML workloads to production, developing regional AI/ML strategies, and training field teams on the use cases and benefits of generative AI.

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

Arlington, VA, USA | Atlanta, GA, USA | Boston, MA, USA | Herndon, VA, USA

Basic Qualifications

• 7+ years of design/implementation/operations/consulting with distributed applications experience

• Experience in internal enterprise or external customer-facing environment as a technical lead

• Experience with AWS services or other cloud offerings

• Experience in the field of AI, Machine Learning, Deep Learning and related technologies.

• Experience developing AI models in real-world environments and integrating AI/ML services into large-scale production applications

• Experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service oriented architectures.

Preferred Qualifications

• Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big aata and analytics/security/applications development in a distributed systems environment

• Internal enterprise experience working with a wide range of internal stakeholders on AIML implementations or migration with company-wide impact

• Experience with predictive analytics, semi and unstructured data

• Experience with AWS AIML services

• Ability to understand complex cloud AIML environments and bridge the gap between technical and business requirements

• Track record of implementing production AIML solutions for enterprise companies or large internet scale start-ups

• Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.

• Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.

• Professional oral and written communication skills, presenting to an audience containing one or more decision maker(s)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.