About the job
AWS is looking for a Senior Solutions Architect, who will be the Subject Matter Expert (SME) for helping customers in designing and optimizing solutions that leverage our Generative AI services. As part of the Worldwide Specialist Solutions Architecture team supporting Amazon Bedrock, you will work closely with other Specialist GenAI Architects from various geographies to enable large-scale customer use-cases and drive the adoption of Amazon Web Services for AI platforms.
Responsibilities
Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
Act as a technical liaison between customers and the AWS Bedrock service teams to provide customer driven product improvement feedback.
Develop and support an AWS internal community of ML related subject matter experts worldwide.
Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
Customer Advisor- Implement, and deploy state of the art machine learning algorithms under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers and with the academic community.
Qualifications
Minimum
8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
3+ years of design, implementation, or consulting in applications and infrastructures experience
7+ years of IT development or implementation/consulting in the software or Internet industries experience
Experience leading the architecture and development of GenAI systems and platforms.
Experience with architecting AI systems with LLMs and custom models, experience with model customization/fine-tuning.
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch
3+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches.
Preferred
5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Knowledge of AWS services, market segments, customer base and industry verticals