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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 systems.
Key job responsibilities
* Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.* Architect solutions leveraging AWS machine learning, AI and Generative AI specific services, working closely with customers to deeply understand their business needs and design technical solutions that optimize the use of the AWS Cloud platform and AI/ML Services.* Develop and support an internal AWS community of AI/ML Subject Matter Experts, fostering knowledge-sharing and collaboration.* Become a trusted advisor within customer accounts through Technical Thought Leadership.*Create field enablement materials for the internal and external tech community.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.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
- 5+ years of technology domain experience in Data Science, LLM, Machine Learning, Artificial Intelligence, and Generative AI related fields.
- 2+ years of experience in ML-Ops and ML solution production deployments.
- 5 + years of experience as enterprise/cloud architect including experience in data processing and analytics workloads.
- Hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI.
- 7+ years design & implementation experience with large distributed applications
- 5+ years of experience in core disciplines like AIML, Generative AI and Data Science.
- 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.
- Able to adapt to new technologies, learn quickly, and manage high ambiguity.
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