Amazon
Sr. AI/ML Specialist Solutions Architect
Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? Are you excited by the challenge of driving production usage of ML and AI at scale? Come join us! ML and AI, especially Generative AI and Agentic AI, are rapidly growing in importance. We're witnessing the revolutionary impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is transforming every industry. As an AI/ML Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Part of the Data and AI Specialist Solutions Architecture team, you will guide customers through their AI transformation journey, working closely with other Specialist SAs in Big Data, Databases and Analytics, Storage, Containers, Accelerated Compute and Business Development teams. You must have deep technical experience across the AI spectrum - from traditional ML and deep learning to Generative AI and Agentic AI - backed by a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. Candidates must have great communication skills and be very technical, with the ability to engage AWS customers at any level, from executives to developers. Key Job 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, from traditional ML services to leading Generative AI offerings. Serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Build and nurture an internal AWS community of AI/ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients 10+ years of combined experience in AI/ML and related technologies, with deep expertise in traditional machine learning and deep learning. Preferred Qualifications
Experience in a technical role within a sales organization Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field, with research or practical experience in emerging AI technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? Are you excited by the challenge of driving production usage of ML and AI at scale? Come join us! ML and AI, especially Generative AI and Agentic AI, are rapidly growing in importance. We're witnessing the revolutionary impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is transforming every industry. As an AI/ML Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Part of the Data and AI Specialist Solutions Architecture team, you will guide customers through their AI transformation journey, working closely with other Specialist SAs in Big Data, Databases and Analytics, Storage, Containers, Accelerated Compute and Business Development teams. You must have deep technical experience across the AI spectrum - from traditional ML and deep learning to Generative AI and Agentic AI - backed by a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi-agent systems. Candidates must have great communication skills and be very technical, with the ability to engage AWS customers at any level, from executives to developers. Key Job 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, from traditional ML services to leading Generative AI offerings. Serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Build and nurture an internal AWS community of AI/ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Basic Qualifications
Bachelor's degree in computer science, engineering, mathematics or equivalent 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients 10+ years of combined experience in AI/ML and related technologies, with deep expertise in traditional machine learning and deep learning. Preferred Qualifications
Experience in a technical role within a sales organization Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field, with research or practical experience in emerging AI technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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