
Senior AI/ML Solutions Architect
1 day ago
We are seeking a highly skilled and experienced AI/ML Solutions Architect to join our team. As an AI/ML Solutions Architect, you will be responsible for designing and implementing scalable, secure, and cost-effective AI/ML solutions that leverage AWS services.
The ideal candidate will have a deep understanding of AI/ML technologies, including traditional machine learning and deep learning, as well as experience building production-grade AI systems. You should also have expertise in modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks.
As a member of our Data and AI Specialist team, you will work closely with customers to understand their business needs and design solutions that optimize both performance and cost while ensuring robust governance and responsible AI practices.
You will also serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Create reference architectures, workshops, and demos that highlight integration patterns for LLMs, RAG systems, autonomous agents, and MLOps best practices.
- Key Responsibilities:
- Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services.
- Architect scalable, secure, and cost-effective solutions leveraging AWS's comprehensive AI stack.
- Serve as a thought leader in the AI/ML space by developing technical content and practical implementations.
- Build and nurture an internal AWS community of AI/ML experts.
- Collaborate across AWS teams to accelerate customer success with AI/ML implementations.
This is a challenging and rewarding role that requires a strong technical background, excellent communication skills, and a passion for innovation. If you are a talented and motivated individual who is excited about the opportunity to make a meaningful impact, we encourage you to apply.
Required Skills and Qualifications:
- 5+ years of experience in AI/ML technologies, including traditional machine learning and deep learning.
- Deep expertise in modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks.
- Experience building production-grade AI systems.
- Strong background in AI architecture patterns and MLOps practices.
- Excellent communication and collaboration skills.
- Ability to work effectively in a fast-paced environment.
Benefits:
At Amazon Web Services, we offer a competitive compensation package, including stock options, comprehensive health insurance, retirement savings plan, and paid time off. We also provide opportunities for professional growth and development through training programs and mentorship initiatives.
Others:
Amazon Web Services is an Equal Opportunity Employer. We welcome applications from diverse candidates and are committed to creating an inclusive workplace culture.
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