AI Transformation Specialist — Amazon Bedrock, AWS Specialist and Partner Organization

AWS is hiring an AI Transformation Specialist to lead enterprise adoption of Amazon Bedrock across AWS's customers. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Basic qualifications: - AWS certification, such as, AWS Solutions Architect, or a similar cloud certification - 10+ years in senior technical customer-facing roles: solutions architecture, technical consulting, customer success engineering, or applied AI/ML engineering, with direct accountability for enterprise customer outcomes in production environments. - Deep hands-on experience with large language model deployment and operationalization: model selection, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, guardrails, agent orchestration, and inference cost optimization. You have built or directly supported production GenAI systems, not just evaluated them. - Demonstrated experience building reusable technical assets, reference architectures, integration playbooks, assessment tools, cost models, that were adopted by field teams or partners to deliver at scale without your direct involvement. - Strong understanding of enterprise integration patterns: API gateway architectures, identity and access management, data pipeline orchestration, security and compliance controls, and cost-management tooling in regulated or complex environments. - Experience working alongside consulting partners (GSIs, SIs, or boutique technical consultancies) on joint customer engagements, not managing from a distance, but co-delivering technical work. - Ability to translate technical architecture decisions into business-value language for executive audiences (VP, C-suite) and to translate executive priorities into actionable technical requirements for engineering teams. Preferred: - PMP/SCRUM/Agile certification or are you SAFe certified - Technical depth - Hands-on experience with Amazon Bedrock, including multi-model management, Bedrock Agents, Knowledge Bases, Guardrails, and custom model import, in customer-facing delivery contexts, not just sandbox environments. - Working knowledge of the broader AWS AI/ML and data stack: SageMaker, Lambda, Step Functions, Glue, OpenSearch, IAM, CloudWatch, Cost Explorer, and how these services compose into production GenAI architectures. - Experience designing and implementing enterprise LLM proxy or gateway patterns, including token-level cost attribution, rate-limit management, model routing, and audit logging. - Adoption and value realization - Track record quantifying the business value of AI/ML adoption using metrics beyond usage volume — cost per inference, development velocity impact, time-to-production, and use-case expansion rate. - Experience conducting maturity assessments and building adoption roadmaps for enterprise AI platforms, with structured approaches to identifying and removing blockers at each stage. - Ecosystem and scale - Experience building partner enablement programs with a technical core — hands-on labs, delivery toolkits, technical certification content — not just go-to-market collateral. - Published or presented on topics in GenAI operationalization, enterprise AI architecture, or LLM deployment patterns at industry events, internal conferences, or through written thought leadership. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 210,200.00 - 284,300.00 USD annually USA, CA, San Francisco - 210,200.00 - 284,300.00 USD annually USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually USA, MA, Boston - 182,800.00 - 247,300.00 USD annually USA, NY, New York - 201,000.00 - 272,000.00 USD annually USA, TX, Austin - 182,800.00 - 247,300.00 USD annually USA, VA, Arlington - 182,800.00 - 247,300.00 USD annually USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually