A

Amazon

Sells products online and rents cloud computing

Senior GenAI Specialist Solutions Architect - SLG/EDU Specialist SA

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree is required.
  • At least 5 years of experience in design, implementation, or consulting for applications and infrastructure is required.
  • At least 8 years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics is required.
  • Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients, is required.
  • Obtain Solutions Architect Associate certification within 6 months and Solutions Architect Professional certification within 18 months.
  • Cloud technology certification, such as Solutions Architecture, Cloud Security Professional, or Cloud DevOps Engineering, is preferred.
  • Knowledge of AWS services, market segments, customer base, and industry verticals is preferred.
  • Knowledge of cloud architecture is preferred.
  • Experience in a technical role within a sales organization is preferred.
  • Knowledge of foundation model selection, deployment, fine-tuning, guardrails, and knowledge bases is preferred.

Responsibilities

  • Serve as a trusted technical advisor on generative AI solutions, including Amazon Bedrock, Amazon Q, SageMaker, and related AI/ML services, for strategic education, state and local government, GovTech, and EdTech customers.
  • Lead architecture design sessions, technical deep-dives, and proof-of-concept engagements for complex generative AI opportunities.
  • Provide expert guidance on generative AI architectures, model selection, fine-tuning strategies, retrieval-augmented generation patterns, and responsible AI implementation.
  • Partner with account teams on strategic account planning, contributing generative AI domain expertise to accelerate the sales cycle and improve solution accuracy.
  • Present at AWS Summits, re:Invent, and industry conferences on generative AI topics relevant to public-sector customers.
  • Create and publish external-facing content, including blogs, whitepapers, demos, workshops, and GitHub repositories, showcasing generative AI best practices for education, state and local government, and related use cases.
  • Deliver internal enablement sessions aligned with education, state and local government customer requirements and organizational technical goals.
  • Build the team's external credibility and visibility as recognized education, state and local government generative AI domain experts through internal enablement sessions and mentoring field members.
  • Channel customer requirements, pain points, and feature requests to AWS service teams and advocate for public-sector-specific capabilities and compliance requirements.
  • Partner with service teams on beta programs, roadmap reviews, and closed-loop feedback to ensure education and state and local government customer needs shape product development.
  • Contribute to internal knowledge bases, newsletters, and Highspot content to scale specialist impact across the organization.
  • Stay current on evolving generative AI services, emerging architectures, and the competitive landscape.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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