AI Business Developer, Energy

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

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