Amazon Web Services is on the lookout for a passionate Generative AI Learning Solutions Architect to support our Intelligence Community customers. Are you ready to assist the Intelligence Community in leveraging generative AI for their high-stakes missions? Do you want to explore various enterprise use cases of AWS Machine Learning and generative AI? Then this opportunity is for you.
At AWS, we empower the federal government to harness the power of AI on the AWS Cloud, addressing vast amounts of data to solve a wide array of challenges.
As generative AI becomes crucial in today's technology landscape, we are witnessing innovative AI applications ranging from straightforward back-office solutions to transformative workflows. The cloud provides an ideal platform for deploying AI models, and AWS leads the way in AI deployment. We need someone who is not only technically proficient but also excited about helping IC customers understand the significant impact AI can have on their missions.
This role requires the selected candidate to possess and maintain an active TS/SCI security clearance.
Key Responsibilities: - Serve as a Subject Matter Expert (SME) in designing generative AI solutions using AWS services to automate processes and reduce costs for customers.
- Collaborate with other Specialist Solutions Architects to enable large-scale customer use cases.
- Provide guidance and support to other Solutions Architects in the field on their customer engagements.
- Create white papers, blogs, reference implementations, and presentations to educate customers and partners on leveraging AI on AWS.
- Develop field enablement materials to help broader Solutions Architect teams integrate AWS AI solutions into customer architectures.
You should have a robust technical background in artificial intelligence, machine learning, deep learning, or generative AI. A strong foundation in statistics, mathematics, or computer science is preferred, along with proven experience in architecting enterprise-grade AI solutions. Familiarity with the AI software ecosystem and proficiency in Python data science environments are essential for helping AWS customers with their software selection.
Excellent communication skills are a must, as you'll be engaging with AWS customers from executive to developer levels. While prior experience with AWS is preferred, strong experience in building large-scale solutions will be advantageous. This role will provide opportunities to work directly with senior engineers, influencing their innovation roadmaps.
If you are an innovative thinker, enjoy solving complex problems, and want to work with cutting-edge technology, we'd love for you to join our team.
About Us: Amazon Web Services (AWS) stands as the world's most comprehensive cloud platform. We pioneered cloud computing and have continuously raised the bar, which is why both thriving startups and Fortune 500 companies choose our extensive range of services to drive their business success.
Our Team Culture: At AWS, we cultivate a learning and curious environment. Our employee-led affinity groups foster inclusion and empower us to celebrate our differences. We emphasize work-life harmony, ensuring that success at work complements personal life without major sacrifices.
We prioritize mentorship and career growth, regularly offering knowledge-sharing opportunities and resources to help you develop as a professional. We celebrate diverse experiences and encourage all qualified candidates to apply, even if your background isn't traditional. Don't let uncertainty hold you back from pursuing this exciting opportunity.
Basic Qualifications: - 4+ years of experience in application and infrastructure design, implementation, or consulting.
- 4+ years of expertise in specific technology domains (e.g., software development, cloud computing, data & analytics).
- 4+ years of experience in IT development or implementation within the software or Internet sectors.
- Bachelor's degree or equivalent certification (e.g., CASP+, CCSP, Cloud+, CSSLP).
- 2+ years of direct experience in AI, Machine Learning, or other related technologies.
- 2+ years of experience developing AI models in real-world settings and integrating AI/ML with AWS services into large-scale applications.
- Active TS/SCI security clearance.
Preferred Qualifications: - Experience in software development or Internet-related industries.
- Experience migrating or transforming legacy solutions to the cloud.
- Familiarity with AWS technologies.
Amazon is an equal opportunity employer and values diversity. We encourage you to apply even if you don't meet all the listed qualifications.