Job Information
Amazon Sr. Specialist Partner Solution Architect - AIML, ASEAN in Kuala Lumpur, Malaysia
Description
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 and partners in Commercial and Public sector.
AWS is looking for Solutions Architect to work with our most strategic AIML partners across ASEAN. This is a hands-on, highly technical position is for someone who can dive deep, build complex, AWS-optimized architectures, and develop a long-term strategy with AWS business development and service teams.
This involves engaging with consulting and technology partners and their customers to integrate AWS AIML services into their solutions and practices. In this hands-on technical specialist role, you will help our partners build complex AIML architectures.
You will own the technical engagement with partners and their ultimate success. In this role, you will be highly collaborative working across a broad set of teams and managing stakeholders. You will act as voice of partners internally with AWS services and Global Center of Excellence (CoE) teams.
Key job responsibilities
Engage up to C-level business and technical executives of AWS partners and demonstrate AWS value proposition.
Advise partner’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way
Conduct workshop sessions to identify opportunities with our partners to scope how they could deliver business value through the use of machine learning
Participate in deep architectural discussions to ensure AIML solutions are designed for successful deployment on AWS cloud.
Dive deep with partners to build technical capabilities through 1:1 and 1-to-many training sessions, as per partner's needs.
Be the thought leader on AWS AIML services.
Author and contribute to AWS publications such as whitepapers, blogs.
Build repeatable mechanisms, architectures, solutions, and playbooks.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 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.
About the team
This role will be a part of AWS Partner facing Specialist Solutions Architect with expert level domain knowledge to lead 'expert to expert' level discussions by themselves.
Basic Qualifications
Technology domain expertise in LLM, Machine Learning, Artificial Intelligence, and GenAI related fields.
Hands-on understanding of open-source software, deep learning, and other ML algorithms with hands-on experience running pilots and PoCs to demonstrate capabilities to prospects.
Min. 3+ years of design, implementation, or consulting in applications and infrastructures experience
10+ years of IT development or implementation/consulting in the software or Internet industries experience
Bachelor’s/Master's Degree required.
Preferred Qualifications
5+ years of infrastructure architecture, database architecture and networking experience
Knowledge of Full AIML Services and Hands-on-experience on AWS Services e.g., Amazon Sagemaker Jumpstart, Amazon Sagemaker Hyperpod, Bedrock, Amazon Q Business and Developer and their architecture and infrastructure.
Experience working with end user or developer communities.