Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture

Sr. GTM Specialist SA AIML GenAI UK, EMEA GTM Data and AI Solutions Architecture

DESCRIPTION
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 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 business. This role helps customers 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 accelerating 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, risk 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

1. 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.
2. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges.
3. Along with your extended team, own the technical bar for specialist technical artifacts and standards.
4. 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.
5. 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.
6. 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.

BASIC QUALIFICATIONS

1. Experience design/implementation/consulting experience of distributed applications.
2. Management of technical, customer facing resources.
3. Experience with AI/ML or related technology domain.
4. Hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
5. Experience Machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.

PREFERRED QUALIFICATIONS

1. History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
2. Experience migrating or transforming legacy customer solutions to the cloud.
3. Familiarity with common enterprise services and working knowledge of software development tools and methodologies.
4. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers.
5. Experience working within software development or Internet-related industries.
6. AWS Solution Architecture certification or relevant cloud expertise.
7. Computer Science /relevant degree and/or experience highly desired.

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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.