Sr. AI/ML Specialist Solutions Architect Full Time

Amazon
Sr. AI/ML Specialist Solutions Architect

Job ID: Amazon Web Services EMEA SARL, Dutch Branch

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/GenAI Specialist Solutions Architects combine technical skills in AI/ML/GenAI 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/GenAI 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 while 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 with regard to their usage of our services impacting 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 architectural patterns 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 Netherlands. You can be based in Amsterdam.

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

Amsterdam, NLD

BASIC QUALIFICATIONS

– Experience in solutions architecture or equivalent experience
– Experience within AI/ML/GenAI technical domain (e.g. multimodal ML, model evaluation, MLOps, MLSecOps, ML training, Inference, Data Engineering, Data Science, Fine-tuning to prompt engineering, Responsible AI)
– Experience in decision-maker engagement

PREFERRED QUALIFICATIONS

– Relevant College/University degree or equivalent experience
– Technical Cloud Certification
– 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
– Able to effectively communicate across an increasing diversity of audiences internally and externally
– Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
– Ability to influence customer and internal business decision makers as a technical thought leader

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.

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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.