Sr AI/ML Specialist Solutions Architect, AI/ML Specialist Solutions Architect team
Amazon Web Services•Published 21 hours ago•First seen 15 hours ago
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.
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 agentic 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 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 GenAIOps best practices. Share insights through AWS Blogs, public speaking events, and technical communities.
Build and nurture an internal AWS community of AI/ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Establish best practices for emerging technologies and create enablement materials for the broader AWS technical community.
Collaborate across AWS teams to accelerate customer success with AI/ML implementations. Work with business development, professional services, and support teams to ensure effective adoption of AWS AI services, from proof-of-concept to production deployment.
Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices.
- Bachelor's degree in computer science, engineering, mathematics or equivalent
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
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 agentic 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 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 GenAIOps best practices. Share insights through AWS Blogs, public speaking events, and technical communities.
Build and nurture an internal AWS community of AI/ML experts, focusing on knowledge-sharing across traditional ML, Generative AI, and Agentic AI domains. Establish best practices for emerging technologies and create enablement materials for the broader AWS technical community.
Collaborate across AWS teams to accelerate customer success with AI/ML implementations. Work with business development, professional services, and support teams to ensure effective adoption of AWS AI services, from proof-of-concept to production deployment.
Drive technical excellence as a key member of the Data and AI Specialist team. Act as a technical liaison between customers and AWS engineering teams, ensuring successful implementation of AI solutions while maintaining alignment with AWS's well-architected framework and AI best practices.
Basic Qualifications
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 8+ years of design, implementation, or consulting in applications and infrastructures experience
Preferred Qualifications
- Bachelor's degree in computer science, engineering, mathematics or equivalent
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.