Overview
As a Generative AI Solutions Architect, you will partner with automotive and manufacturing customers to design scalable AI architectures on AWS. You will influence roadmaps, craft PoCs, and demonstrate measurable business value through AI solutions. You’ll mentor peers, share knowledge, and represent AWS at industry events, while staying at the forefront of generative AI advancements. This role sits at the intersection of deep technical execution and executive alignment, helping customers realize transformative outcomes.
Responsibilities
- Develop strategic technical roadmaps and implementation plans for generative AI solutions aligned with customer objectives
- Design and implement generative AI architectures orchestrating complex workflows using AWS services (Bedrock, SageMaker, Kiro, Amazon Quick)
- Advise senior stakeholders on architectural trade-offs, risks, and AI strategy in business terms
- Mentor teammates and drive knowledge sharing to advance AI adoption
- Lead thought leadership and represent AWS generative AI capabilities publicly
- Stay current with AI research and AWS capabilities to optimize system performance
- Define evaluation frameworks for AI systems, including benchmarking, quality assessment, and monitoring
Key requirements
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience in IT development or consulting in software/Internet industries
- Ability to communicate complex concepts to technical and non-technical audiences, including executives
- excellent stakeholder communication
- mentorship and knowledge sharing
- public speaking and thought leadership
- Amazon Bedrock
- SageMaker
- Kiro
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