Principal GenAI Specialist SA
About the role
We're seeking an AI/ML Specialist Solutions Architect to design, architect, and implement scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. You will work closely with customers to understand their unique requirements and translate them into robust technical architectures.
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.
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
Communication skills and technical depth, with the ability to engage stakeholders at all levels, from executives to developers
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.
Qualifications
- 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
Skills
Deep technical experience across the AI spectrum, from traditional ML and deep learning to Generative AI and Agentic AI
Strong communication skills and technical depth
Ability to engage stakeholders at all levels, from executives to developers
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.
Benefits
Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.
Pay
Base salary range: $210,200.00 - $284,300.00 USD annually
Final compensation will be determined based on factors including experience, qualifications, and location.
Schedule
Full-time