Sr. Ai/ml Specialist Solutions Architect

**DESCRIPTION**:
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. Given the massive computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.

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. Your expertise will be crucial in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while implementing robust governance frameworks and secure AI pipelines that scale efficiently.

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'll help customers establish scalable MLOps practices and create sustainable, enterprise-grade AI architectures that deliver measurable business value. Your role includes developing technical content, reference implementations, and presentations to enable customers, partners, and ISVs to fully leverage AI/ML and Generative AI on AWS. Additionally, you will create field enablement materials to help the broader SA population understand and integrate AWS AI/ML and Generative AI solutions into customer architectures.

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. You should be proficient with both commercial and open-source technologies, including popular frameworks like LangChain, Hugging Face, and PyTorch, as well as vector databases and embedding models. Your comprehensive understanding of the AI/ML ecosystem, including leading vendors, emerging startups, and key open-source projects, will be crucial in helping AWS customers create robust ML pipelines, establish effective MLOps practices, and build future-proof AI architectures.

If you are someone who enjoys innovating, likes solving hard problems and working on the latest and greatest technology, we would love to have you on the team.

AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

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Key job responsibilities
- Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services, with particular focus on enterprise-grade AI/ML architectures, Generative AI solutions, and autonomous agent systems.
- Architect scalable, secure, and cost-effective solutions leveraging AWS's comprehensive AI stack, from traditional ML services to leading Generative AI offerings. 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.
- Serve as a thought leader in the AI/ML space by developing compelling technical con