Sr. Amazon Q Builder, Amazon Q Customer Success Team (Q-CST)

Job Description

Sr. Amazon Q Builder, Amazon Q Customer Success Team (Q-CST) Job ID: 2921676 | Amazon Web Services Australia Pty Ltd AWS is known for its unwavering customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS technologies that align with the new ways of managing people and rearchitecting critical processes to leverage the capabilities of Gen AI. Amazon Q-CST Customer Success Team (CST) members leverage their deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect, and implement transformational solutions for customers. We make customer success a reality using AWS Gen AI services as an enabler. Q-CST Builders are responsible for architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Q and Bedrock. This role involves designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications. Builders collaborate closely with Strategists and customer stakeholders to understand their requirements, translate them into technical specifications, and develop scalable and secure Generative AI solutions. Additionally, they provide guidance on data preparation, model training, and deployment strategies to ensure successful implementation and adoption of Generative AI solutions within the organization. Key job responsibilities Lead and architect complex Amazon Q and Gen AI Application solutions, establishing technical direction and best practices for enterprise-scale implementations Lead development and implementation of strategies for training, fine-tuning, and optimizing generative AI Application Design to ensure high performance, scalability, and cost-effectiveness, leveraging Amazon's AI/ML services and infrastructure Design and integrate Gen AI applications into existing 3rd Party applications like SAML (Okta, Azure AD), with AWS Services like IDC, DynamoDB, ensuring seamless integration, scalability, and adherence to security best practices Mentor junior team members and provide technical leadership across multiple customer engagements Drive collaboration with cross-functional teams, such as Gen AI Strategists, Customer Project Managers, user experience designers, and AWS AI/ML specialists, to ensure the effective integration of generative AI outputs into end-user applications, while considering user experience, accessibility, and ethical implications Build and maintain relationships with key business and technical stakeholders, including C-level executives, to drive adoption of Gen AI solutions Lead workshops and discussions with Customer stakeholders and AWS Security specialists to design, deliver, and maintain secure and resilient Gen AI solutions, adhering to Amazon's security and compliance standards Lead and contribute the development of reusable tools, libraries, and frameworks for building and deploying Amazon Q Applications, fostering collaboration and knowledge sharing within the Amazon AI/ML community. BASIC QUALIFICATIONS 7+ years of architecture/design and implementation of cloud-based solutions 7+ years of consulting or professional services experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 5+ years of software development with object oriented language experience Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS Experience leading the architecture and implementation of AI/ML workloads Proven track record of delivering robust, scalable solutions in complex technical environments as well as delivering successful enterprise-scale Gen AI implementations International consulting or professional services sales and delivery experience Strong track record of CI/CD implementation in enterprise environments Experience evaluating customer market conditions, organizational readiness, and C-Level engagement to drive strategic transformation initiatives Vertical industry sales and delivery experience of cloud services and solutions Published technical content or speaking engagements at industry conferences Experience with selling consulting/professional services IDE statement: Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes. #J-18808-Ljbffr