{"id":3058079,"url":"https://alion.io/job/amazon-ai-business-developer-energy","title":"AI Business Developer, Energy","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4442,"ghost_share":0,"stale_share":0.891,"repost_share":0.001,"time_to_fill_p50_days":22,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":228000,"period":"year","method":"role_country_seniority_unknown","sample_n":168},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Claude Code","optional":false},{"name":"OpenAI Codex","optional":false}],"status":"live","first_seen_at":"2026-10-21T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-27T11:13:42Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"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.\nThis 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.\nYou 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.\nKey job responsibilities\nOwn AI pipeline creation across all five motions for Energy customers - identify, qualify, and advance opportunities from $0 to closed revenue.\nBuild and execute account-level AI adoption strategies that map customer business problems to the right AWS AI motion.\nLead cross-functional GTM initiatives across sales, marketing, partner, product, and professional services teams to drive AI adoption in the Energy vertical.\nDevelop and deliver compelling business cases, ROI analyses, and value propositions tailored to Energy CIOs, CTOs, and CDOs.\nCreate sales plays, field enablement materials, and repeatable GTM playbooks for each AI motion.\nBring market signals and customer feedback back to product teams to drive innovation on AWS product roadmaps.\nOwn reporting and planning cadences - pipeline metrics, win rates, revenue attainment, and adoption KPIs.\nRepresent 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.\nBasic qualifications\n- Experience solving problems with technology in the Energy & Utilities industries\n- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage\n- Experience developing strategies that influence leadership decisions at the organizational level\n- Experience in Go-To-Market, Business Development, Sales, or Consulting\nPreferred qualifications\n- Track record of building GenAI/Agentic AI pipeline from zero in a new market or vertical\n- Experience with agentic AI architectures, LLMs, developer tools (coding assistants), or enterprise AI platforms\n- Experience working and communicating with multiple stakeholders and cross-functional teams including solution architecture, product management, partner, and account teams\n- Familiarity with competitive cloud AI landscape\n- Demonstrated use of AI tools (coding assistants, productivity agents, AI-powered analytics) in your own workflows to accelerate outcomes\n- Experience in representing and advocating for critical customers during executive-level prioritization and planning\nAmazon 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.\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur 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. 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