Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture
Job ID: 2741359 | AWS EMEA SARL (UK Branch)
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect!
The EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers in innovating, operationalizing, and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer’s most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. This role helps customers by providing GenAI/ML best practices, including techniques for responsible AI, model fine-tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners, and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the “first in” teams to build markets for new GenAI/ML services or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risks, and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners, and AWS service teams.
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.
Key job responsibilities
- Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
- Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges.
- Along with your extended team, own the technical bar for specialist technical artifacts and standards.
- Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events such as AWS Summit, AWS re:Invent, etc.
- Guide and support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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 empowers 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.
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which 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. We work backwards from our customer’s most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
BASIC QUALIFICATIONS
- Experience design/implementation/consulting experience of distributed applications.
- Management of technical, customer-facing resources.
- Experience with AI/ML or related technology domain.
- Hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
PREFERRED QUALIFICATIONS
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies.
- Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT management, and developers.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science/relevant degree and/or experience highly desired.
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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use, and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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