Position Details
About this role
Senior solutions architect focused on AWS GenAI Platform, driving GTM and technical design for GenAI workloads and foundation models. Partners with customers and cross-functional teams to architect scalable, cloud-based GenAI solutions and enable field teams.
Key Responsibilities
- Drive business development through market sizing, pipeline building, and technical proof-of-concept requirements with customers
- Develop and execute GTM plans by working directly with customers to understand business problems and implement scalable GenAI solutions
- Develop cloud-based GenAI solutions enabling customers to build and deploy workloads on EC2, SageMaker Hyperpod, and accelerated compute platforms
- Create technical architectures, content, and enablement materials to train field teams and establish thought-leadership
- Collaborate with account teams, research scientists, product teams, ISVs, and model providers to drive implementations and innovation
Technical Overview
Scope includes GenAI platform design, GPU-based compute infrastructure, EC2 and SageMaker Hyperpod deployments, and ML framework integration. Emphasizes performance evaluation of foundation models and deployment demos for GTM.
Ideal Candidate
The ideal candidate is a senior solutions architect with deep GenAI and AWS experience who can articulate GTM strategies and design scalable GenAI solutions for customers. They should be comfortable engaging with C-suite executives and cross-functional teams to drive adoption of foundation models and large-scale workloads.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
8+ years of IT development or implementation/consulting experience, 3+ years of design, implementation or consulting in applications/infrastructures, Bachelor's degree not explicitly required but may be implied, Must be able to work onsite in Dallas, TX
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