AI/ML Specialist SA, Worldwide Specialist Organization EMEA

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.

AI/ML Specialist Solutions Architects combine technical skills in Machine Learning, business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.

Key job responsibilities
The WWSO AI/ML Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey in adopting Machine Learning across their organisation.
You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging Machine Learning projects.
Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of AWS AI/ML features.

In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native Machine Learning reference architectures for a variety of use cases.

You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running Machine Learning workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).

If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us.

Location: This role is to support our strategic customers in France. You can be based anywhere in France. The main office is Paris.

About the team
SSAs are part of the Worldwide Specialist Organization (WWSO) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

BASIC QUALIFICATIONS

• Experience in solutions architecture or equivalent experience
• In-depth working knowledge and experience of the Artificial Intelligence/Machine Learning technical domain
• Background in any of the following: Cloud Architecture, DevOps, Software Development, Infrastructure Architecture, ML Engineering or Data Science
• Experience in decision-maker engagement
• Fluent written and verbal communication skills in English and French
• A passion for technology and for learning.

PREFERRED QUALIFICATIONS

The following qualifications are desired but not required:
• College/University degree or equivalent experience
• Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes
• Ability to lead a team or small organization-wide initiative with business objectives that are partially defined
• Working knowledge of cloud native architectures
• Knowledge of a Python and/or scripting, Infrastructure as Code etc.
• Experience working in a customer-facing role or a role which involved public speaking
• AWS certification (e.g. AWS Solutions Architect Associate or Professional) or other industry certification
• AWS Certified Machine Learning – Specialty

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