Senior Solutions Architect, AI-Applied Guidance, Well-Architected Solutions Innovation

Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS? We are looking for a Senior Solutions Architect with deep expertise in Machine Learning, Basic qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent - 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of hands-on experience designing, building, or advising on Machine Learning and/or AI systems in production environments - Deep understanding of the end-to-end ML lifecycle: data preparation, model training, evaluation, deployment, monitoring, and governance - Demonstrated ability to influence technical direction across organizational boundaries without direct authority - Exceptional written and verbal communication skills with a track record of publishing authoritative technical content (whitepapers, guidance documents, reference architectures) for executive and technical audiences - Proven ability to work with cross-functional senior leadership to define and implement architectural standards at organizational scale Preferred: - Knowledge of AWS services, market segments, customer base and industry verticals - Hands-on experience with Agentic AI patterns: autonomous agents, multi-agent systems, tool-use architectures, planning/reasoning patterns, and human-in-the-loop orchestration - Expert-level knowledge of AWS AI/ML services: Amazon Bedrock, Amazon SageMaker, Amazon Q, AWS Trainium/Inferentia, Amazon Kendra, Amazon OpenSearch, and related services. - Experience defining or contributing to the AWS Well-Architected Guidance or similar enterprise-scale architectural review guidance - Recognized thought leader with a strong publication record and conference speaking history (re:Invent, AWS Summits, industry architecture conferences, or equivalent). - Experience with Infrastructure as Code (CDK, CloudFormation, Terraform) and CI/CD practices for ML pipelines (MLOps/LLMOps). - Deep knowledge of responsible AI practices: fairness, explainability, safety guardrails, governance guidance, and regulatory compliance - AWS certifications (Solutions Architect Professional, Generative AI, or equivalent). - Demonstrated experience mentoring senior engineers and contributing to organizational hiring and talent development strategy 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. 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, Irvine - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually