Overview
Description
Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you.
ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the 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 reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses.
As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert 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 important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently.
As part of the AI/ML Specialist Solutions Architecture team, you will guide customers through their AI transformation journey, collaborating closely to establish scalable GenAIOps practices and create sustainable, enterprise-grade AI architectures that deliver measurable business value. Your role involves engaging directly with customers to understand their unique requirements and translating them into robust technical architectures. You\'ll present AWS services and solutions, develop technical content that captures best practices and proven patterns, and enable customers, partners, and ISVs to fully leverage AI/ML and Generative AI capabilities on AWS. Additionally, you\'ll contribute to the broader AWS technical community by sharing your insights and expertise internally, helping to elevate our collective knowledge and approach to AI solutions.
We\'re looking for candidates with deep technical experience across the AI spectrum, from traditional ML and deep learning to Generative AI and Agentic AI, backed by a strong foundation in mathematics and statistics. This includes hands-on experience with large language models (LLMs) customisation/fine-tuning, inference optimisation, agentic frameworks (e.g. Strands, LangGraph, CrewaI), GenAIOps/AgentOps, Security, RAG systems optimisation & vector stores, prompt/context engineering, etc.
Candidates should have strong communication skills and technical depth, with the ability to engage stakeholders at all levels, from executives to developers. You\'ll need to translate complex technical concepts into clear, actionable insights and work effectively across diverse teams. Previous experience with AWS is valued but not required, provided you have experience building large-scale solutions. You\'ll have the opportunity to work directly with senior engineers at customers, partners, and AWS service teams, influencing roadmaps and driving innovation.
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