Principal Worldwide Specialist Solutions Architect, Amazon Bedrock, AgentCore, Data & AI GTM
Job Summary
The ASPI Energy & Utilities Specialist Team is seeking an experienced and deeply technical Data and AI Solutions Architect to accelerate AI adoption across Global energy and power customers. This is a builder-first role. You will prototype architect and deliver production-grade AI solutions spanning agentic platforms developer tools (Claude Code Codex Kiro) governance and cybersecurity. You will bridge the gap between frontier AI capabilities (large language models multimodal foundation models retrieval-augmented generation speech-to-speech models) and real-world energy environments from operational productivity to developer platforms and real-time trading and utility operations centers.
As a trusted technical advisor you will guide energy engineering and product teams through designing AI-native products and services: agentic systems for product development and real time operations AI assistants that automate technician dispatch and GenAI copilots for operations. You will work backwards from customer outcomes to define reference architectures that combine AWS AI services (Amazon Bedrock AgentCore Continuum and others) with partner and open-source components in regulated industry deployments.
This role requires someone who builds. You will write code construct proof-of-concept implementations contribute to open-source projects and develop reusable blueprints that accelerate GenAI adoption across the energy vertical. You will influence AWS product roadmaps by translating customer requirements into feature requests and working directly with service teams. You will publish your work through whitepapers blog posts reference architectures and conference presentations.
The ideal candidate combines deep analytics and AI expertise with a passion for shipping AI products in complex regulated environments. You are equally comfortable whiteboarding transformer architectures with ML engineers designing multi-turn agentic workflows and understanding the operational realities of energy customers.
Key job responsibilities
- Design and deliver generative AI solutions for energy customers across multiple industry domains.
- Architect end-to-end AI pipelines integrating foundation models speech vision and tool-use agents with energy platforms and infrastructure.
- Build production-quality proof-of-concepts demonstrating agentic capabilities AI developer and productivity tooling.
- Lead technical engagements with energy engineering teams on analytics and AI architectures.
- Provide strategic guidance on deploying AI agents into energy environments addressing latency reliability compliance and scale requirements.
- Develop reference architectures and reusable blueprints that accelerate GenAI adoption combining Bedrock AgentCore Kiro/Claude Code/Codex and partner ecosystem components.
- Influence AWS AI service roadmaps by capturing customer requirements and collaborating with service teams.
- Author whitepapers blog posts and reference implementations establishing AWSs point of view on GenAI for telecommunications.
- Drive customer growth through GenAI-focused sales strategies in partnership with AWS Sales teams.
- Build trusted advisor relationships with senior technical leaders (VP Eng CTO Chief AI Officer) at energy customers.
- Partner with SAs Sales Business Development and the AI/ML Service teams to accelerate customer adoption and providing guidance on their customer engagements.
- Develop and support an AWS internal community of Data and AI related subject matter experts worldwide.
- Create field enablement materials for the broader SA population to help them understand how to integrate Amazon Web Services AI solutions into customer architectures.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
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Mentorship & Career Growth
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Work/Life Balance
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- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Bachelors 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
- Experience communicating across technical and non-technical audiences and at C-level including training workshops publications
- 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
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives IT management and developers
- Experience architecting migrating transforming or modernizing customer requirements to the cloud
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Required Experience:
Staff IC
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