Senior GTM Specialist Solutions Architect GenAI

- Experience as a technical specialist in customer-facing roles

- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance

- 7+ years design/implementation/consulting experience of distributed applications.

- 5+ years of experience with AI/ML or related technology domain.

- 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies.

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience working with end user or developer communities

- Experience shaping business strategy for technical products or services for large enterprises or partners

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers

- Experience working within software development or Internet-related industries

- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification

- Familiarity with common enterprise services and working knowledge of software development tools and methodologies

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 system 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.

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.

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 GenAI/ML and Agentic technologies 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 GenAI/ML and Agentic 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 GenAI/ML and Agentic features.

In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic 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 GenAI/ML and Agentic 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.

Key job responsibilities

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.