Principal GenAI Specialist SA

About the role

We are seeking an AI/ML Specialist Solutions Architect to design and implement scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. This role involves guiding customers through their AI transformation journey, collaborating with customers to establish scalable GenAIOps practices, and creating sustainable, enterprise-grade AI architectures.

Responsibilities

• Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services, with a 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.

Requirements

• 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.
• Knowledge of distributed systems design and implementation or equivalent.
• Knowledge of large scale automation and workflow management or equivalent.
• Knowledge of database design and implementation or equivalent.
• Experience architecting, migrating, transforming or modernizing customer requirements to the cloud.
• 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.
• Strong communication skills and technical depth, with the ability to engage stakeholders at all levels, from executives to developers.

Qualifications

• 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.
• 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.
• Previous experience with AWS is valued but not required, provided you have experience building large-scale solutions.

Skills

• Technical expertise in AI, ML, Generative AI, and Agentic AI.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills.
• Ability to work effectively with diverse teams and stakeholders.

Benefits

Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).

• USA, CA, East Palo Alto - $210,200.00 - $284,300.00 USD annually
• USA, CA, San Francisco - $210,200.00 - $284,300.00 USD annually
• USA, CO, Denver - $182,800.00 - $247,300.00 USD annually
• USA, NJ, Jersey City - $201,000.00 - $272,000.00 USD annually
• USA, NY, New York - $201,000.00 - $272,000.00 USD annually

Schedule

Full-time position.