Amazon - Annapolis Junction, MD
posted 6 days ago
Full-time - Mid Level
Annapolis Junction, MD
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers
About the position
The Machine Learning Solutions Architect at Amazon Web Services (AWS) will support Intelligence Community customers by leveraging machine learning and generative AI technologies. This role involves designing solutions that utilize AWS services to automate processes and reduce costs, while also providing guidance and support to other Solutions Architects. The position requires a strong technical background in AI/ML and the ability to communicate effectively with various stakeholders.
Responsibilities
- Design machine learning and generative AI solutions leveraging AWS services.
- Support Intelligence Community customers in understanding and implementing AI technologies.
- Develop white papers, blogs, reference implementations, and presentations to enable customers and partners to leverage ML/AI on AWS.
- Create field enablement materials for the broader Solutions Architect population.
- Collaborate with other Specialist Solutions Architects to enable large-scale customer use cases and drive AWS adoption for ML/AI platforms.
Requirements
- 4+ years of design, implementation, or consulting experience in applications and infrastructures.
- 4+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, and data & analytics.
- 4+ years of IT development or implementation/consulting experience in the software or Internet industries.
- Bachelor's degree or relevant certifications (CASP+, CCSP, Cloud+, CSSLP).
- 2+ years of experience in AI, Machine Learning, Deep Learning, NLP, and related technologies.
- 2+ years of experience developing AI models in real-world environments and integrating AI/ML with AWS services.
- Current, active US Government Security Clearance of TS/SCI with Polygraph.
Nice-to-haves
- Experience working within software development or Internet-related industries.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Experience with AWS technologies.
Benefits
- Flexible work hours
- Mentorship and career growth opportunities
- Inclusive team culture
- Work-life balance initiatives
