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Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us!

Cloud Solutions Architect

Remote

POSITION SUMMARY:

We are looking for an accomplished Cloud Solutions Architect with experience designing and delivering enterprise-grade SaaS applications, modern cloud platforms, and AI-powered solutions. The ideal candidate will have experience across a broad range of enterprise technologies, including Angular, .NET, JavaScript, web application servers, databases, microservices, and cloud-native architectures. In addition to leading application modernization efforts, this role will help drive the adoption of Generative AI and Large Language Models (LLMs), designing applications that integrate with AI platforms and APIs to enhance customer, associate, and business experiences.

RESPONSIBILITIES:

• Collaborate with internal teams to produce highly available and scalable design and architecture.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Act as the technical lead for assigned projects, owning the solution architecture, guiding the project team, overseeing technical execution, tracking progress, and leading project reviews with IT and business stakeholders throughout all phases of the project lifecycle.
• Architect and develop applications that integrate with commercial and open-source LLM platforms through APIs and SDKs, ensuring scalability, security, reliability, and cost efficiency.
• Lead the design of Retrieval-Augmented Generation (RAG) solutions by integrating enterprise knowledge sources, databases, APIs, and retail systems.
• Evaluate emerging AI technologies and recommend appropriate models, frameworks, and cloud services to support business objectives.
• Understand the current application infrastructure and functionalities.

POSITION QUALIFICATIONS:

• Experience with the core AWS services, plus the specifics mentioned in this job description.

• Practical experience with .NETframework, SQL Server, Oracle, and design/architectural patterns.
• Experience with ECS Fargate, Lambda, AuroraDB and DynamoDB.
• Experience integrating applications with LLM APIs such as Azure OpenAI, OpenAI, Anthropic, Amazon Bedrock, Google Vertex AI, or similar AI platforms.
• Strong understanding of prompt engineering, model selection, token optimization, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
• Strong notions of security best practices and ability to implement OAuth2.0 authentication for SSO and API Auths.
• Practical experience with TEST APIs, Microservices design patterns, principles, and implementation.

• Well defined communication skills and a demonstrated aptitude for communicating with both the technical staff and end-users to understand application requirements and design.
• Write clean, scalable code using .NET programming languages

• Analyzes business application requirements and develops specifications for database construction, data modeling, and normalization.

BENEFITS & PERKS:

• Competitive healthcare, dental & vision insurance
• 401(k) matching after one year of employment
• Generous time off + company holidays
• Merchandise discount
• Learning & Development programs
• Much more!

The salary range for this opportunity is $110,000 - $148,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.