Software Delivery Engineer , Amazon Q Customer Success Team (Q-CST)

Amazon; Calderara di Reno, Roma; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading tech company based in Calabria di Reno is seeking a Software Delivery Engineer for its Customer Success Team. The role involves designing generative AI applications, integrating AWS services, and collaborating with cross-functional teams to enhance customer solutions. Candidates should be familiar with AWS technologies and have a strong foundation in cloud computing. This position offers flexible working arrangements and career growth opportunities.

Servizi

Flexible working arrangements

Career growth opportunities

Competenze

• Knowledge of the primary AWS services.
• Experience implementing AWS services in a variety of distributed computing environments.

Mansioni

• Design and develop Amazon Q and Gen AI Application architectures.
• Implement strategies for training and optimizing generative AI applications.
• Integrate Gen AI applications into existing 3rd Party applications.
• Collaborate with cross-functional teams to ensure effective integration.
• Design and deliver secure and resilient Gen AI solutions.
• Develop reusable tools and frameworks for building applications.

Conoscenze

Knowledge of AWS services (EC2, ELB, RDS, Route53, S3)

Experience in IT implementation

Cloud computing technologies

Technical expertise in distributed systems

Descrizione del lavoro

Software Delivery Engineer , Amazon Q Customer Success Team (Q-CST)

Job ID: 3092066 | AWS EMEA SARL (UK Branch)

AWS is known for its relentless 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. Builders are responsible for weekly customer updates and SFDC hygiene, adhering to ProServe's delivery best practices to maintain operational excellence.

Key job responsibilities

• Design and develop Amazon Q and Gen AI Application architectures for various applications, such as text generation, image synthesis, and data augmentation, while ensuring compliance with Amazon's best practices and guidelines.
• Develop and implement 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.
• Support the integration of 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.
• Collaborate 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.
• Collaborate with Customer 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.

About the team

The AWS Amazon Q-CST leverages 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.

ABOUT AWS:

Diverse Experiences Amazon 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. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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Basic Qualifications

• Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
• Experience implementing AWS services in a variety of distributed computing environments

Preferred Qualifications

• Experience in IT implementation
• Experience and technical expertise (design and implementation) in cloud computing technologies
• Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure, network, compute, storage, and virtualization experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.