AI Business Developer, Energy

Amazon is hiring an AI Business Developer, Energy in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Claude, Bedrock and Claude Code.
Level lists 21,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

claudebedrockclaude-codecodex

Are you a customer-obsessed builder with a passion for helping Energy customers achieve their full potential with Generative and Agentic AI? Do you have the business savvy, AI background, and pipeline-building skills necessary to help position AWS as the AI platform of choice? Do you love building new strategic and data-driven businesses from the ground up? Join the Energy AI Acceleration team as a AI Specialist Business Developer.

This position is part of a newly formed team dedicated to driving AI adoption across AWS's Energy & Utilities customers. You will own AI pipeline creation across five strategic motions: AI-assisted Software Development (Claude Code, Codex, Kiro), Agentic AI platforms (Amazon Bedrock AgentCore), Amazon Quick as an enterprise productivity platform, enterprise AI workload migration, and AI for Cybersecurity. You will collaborate with specialist architects and cross-functional teams to build and scale pipeline across these motions for Energy customers.

You will identify and qualify AI opportunities across your assigned Energy accounts, build and execute account-level pipeline generation plans, work with customers to understand use cases and map them to the right AI motion, develop joint GTM strategies with service teams, create field enablement content, and drive industry thought-leadership. You will work closely with specialist architects, account teams, partners, and service teams to move opportunities from identification through proof-of-concept to production deployment and revenue.

Key job responsibilities
• Own AI pipeline creation across all five motions for Energy customers - identify, qualify, and advance opportunities from $0 to closed revenue.
• Build and execute account-level AI adoption strategies that map customer business problems to the right AWS AI motion.
• Lead cross-functional GTM initiatives across sales, marketing, partner, product, and professional services teams to drive AI adoption in the Energy vertical.
• Develop and deliver compelling business cases, ROI analyses, and value propositions tailored to Energy CIOs, CTOs, and CDOs.
• Create sales plays, field enablement materials, and repeatable GTM playbooks for each AI motion.
• Bring market signals and customer feedback back to product teams to drive innovation on AWS product roadmaps.
• Own reporting and planning cadences - pipeline metrics, win rates, revenue attainment, and adoption KPIs.
• Represent AWS at Energy industry events, conferences, and customer executive briefings.

About the team
You'll join a small, purpose-built team leading AI acceleration for AWS Energy customers. The team operates with startup speed and end-to-end ownership. We believe the best things at Amazon get built by teams small enough to move fast and own their mission — and this team embodies that philosophy. This is a greenfield opportunity to shape the AI GTM playbook for one of AWS's most strategic verticals.

Basic qualifications

- Experience solving problems with technology in the Energy & Utilities industries
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience in Go-To-Market, Business Development, Sales, or Consulting

Preferred qualifications

- Track record of building GenAI/Agentic AI pipeline from zero in a new market or vertical
- Experience with agentic AI architectures, LLMs, developer tools (coding assistants), or enterprise AI platforms
- Experience working and communicating with multiple stakeholders and cross-functional teams including solution architecture, product management, partner, and account teams
- Familiarity with competitive cloud AI landscape
- Demonstrated use of AI tools (coding assistants, productivity agents, AI-powered analytics) in your own workflows to accelerate outcomes
- Experience in representing and advocating for critical customers during executive-level prioritization and planning

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 (https://www.amazon.jobs/en/privacy_page) 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

AI Business Developer, Energy at Amazon rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Business Developer, Energy is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London.
The job was posted on October 21, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudeBedrockClaude CodeCodex

Questions you could be asked

What's a project where you used Claude hands-on?
Walk me through how you've used Bedrock in your day-to-day work.
What are the limits of Claude Code that you've run into, and how did you work around them?
What's a project where you used Codex hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Claude, Bedrock, Claude Code, and Codex. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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