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Genai and Aiml Solutions Architect, Ags France
il y a 3 semaines
3+ years of technology domain experience in Data, LLM, Machine Learning, Artificial Intelligence, and GenAI related fields.
- 5+ years of experience as enterprise / cloud architect. Including experience in migration and modernization.
- Hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI.
Fluent written and verbal communication, English and French
Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us
AWS is looking for a Machine Learning and Generative AI Solutions Architect, who will be the Subject Matter Expert (SME) for helping customers in France design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AIML and GenAI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage GenAI on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.
Key job responsibilities
- Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML/ GenAI Services.
- Partner with SAs, Sales, Business Development and the AI/ML/GenAI Service teams to accelerate customer adoption and revenue attainment in France
- Thought Leadership - Evangelize AWS AI/ML/GenAI services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
About the team
Diverse Experiences
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
**The following qualifications are desired but not required**:
- 5+ years of experience in core disciplines like AIML, GenAI and Data.
- Professional experience architecting, operating cloud-based solutions / or pre-sales consulting.
- Certification - AWS Certified Machine Learning - Specialty
- Working knowledge of software development tools and methodologies.
- Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
- Experience with a programming or scripting language and ability to adapt to new technologies, learn quickly, and manage high ambiguity.
