• Technical contact for enterprise customers across various industries • Close collaboration with Sales, Product Management and Development • Analysis of complex customer environments and development of scalable, secure and high-performance solution concepts • Conducting product demonstrations, proofs of concept and technical workshops • Participation in customer meetings to identify technical and business requirements • Supporting the sales process with RFIs and RFPs • Structured transfer of customer feedback to Sales and Product teams • Continuous development of personal knowledge on current IT trends

• Lead deployment of AI OS for customers • Design connections between AI architecture and existing data stacks • Develop prototypes and workflows • Transition prototypes into scalable solutions • Partner with teams to enhance platform features

• Led end-to-end architecture, design, and technical implementation of Guidewire InsuranceSuite products (PolicyCenter, BillingCenter, ClaimCenter). • Provide technical leadership and strategic direction across multiple projects. • Analyse business requirements and translate them into scalable technical solutions. • Design and document integration strategies using Guidewire APIs, plugins, messaging, and third-party systems. • Define architecture standards, best practices, and development guidelines. • Conduct architecture reviews and ensure code quality, performance, and compliance with security standards. • Collaborate with cross-functional teams, including business analysts, QA, DevOps, and infrastructure teams. • Mentor and guide developers and junior architects in Guidewire development best practices. • Support pre-sales activities, including technical proposals and effort estimation. • Ensure delivery alignment with enterprise architecture and client expectations.

Role Description Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us! AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our ML services. As part of the team, you will work closely with customers in one or more industry verticals (Financial Services, Media and Entertainment, Manufacturing, Technology, Health Care and Life Sciences, Retail, etc.) to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward. You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the GenAI space, and will leverage this knowledge to help AWS customers in their selection process. If you are a qualified and accepted candidate, you may work out of any of the following cities: San Jose, Los Angeles, Seattle, Chicago, Austin, Dallas, Atlanta, Arlington. Travel up to 50% across the USA may be possible. Key Job Responsibilities - Working with customers’ development and data science teams to deeply understand their business and technical needs. - Design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon AgentCore, Amazon Rekognition, Amazon Transcribe, Amazon Quick, Amazon Personalize, and other AI/ML services. - Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases. - Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. - Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback. - Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS. Qualifications - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience. - 3+ years of design, implementation, or consulting in applications and infrastructures experience. - Experience in a technical role within a sales organization. Preferred Qualifications - 5+ years of IT development or implementation/consulting in the software or Internet industries experience. - Experience working with end user or developer communities. - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. - Experience architecting/operating solutions built on AWS. Benefits - Comprehensive 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. Company Description Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. Our inclusive culture empowers Amazonians to deliver the best results for our customers.