Principal GenAI Specialist SA

About the role

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 systems solutions that leverage AWS services. Your role involves guiding customers through their AI transformation journey, collaborating with customers to establish scalable GenAIOps practices and creating sustainable, enterprise-grade AI architectures that deliver measurable business value. You'll engage directly with customers to understand their unique requirements and translate them into robust technical architectures, presenting AWS services and solutions, and enabling customers, partners, and ISVs to fully leverage AI/ML and Generative AI capabilities on AWS.

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.
• 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.

Qualifications

• 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Bachelor's degree in computer science, engineering, mathematics or equivalent
• Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
• Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications