Generative AI Engineer

Principal Solution Architect – Cloud & AI Initiatives to drive the design of secure, scalable, and modern applications, with a strong emphasis on AI and GenAI-enabling technologies. This is a senior-level individual contributor role within the Architecture organization, focused on delivering hands-on solution designs and proofs of concept that bring innovative ideas to life. You will work closely with Domain Architects, product teams, and engineers to solve real business problems through system design, modern tooling, and rapid technical exploration. Responsibilities: • Collaborate with domain and enterprise architects to translate strategy into application and system designs • Design scalable, cloud-native applications and services using modern architecture patterns • Lead hands-on solution evaluations, prototypes, and proofs of concept, especially for initiatives involving AI, GenAI, and emerging technologies • Make informed architectural trade-offs based on business needs, performance, cost, and long-term maintainability • Contribute reusable patterns and documentation that support solution delivery across teams • Partner with engineering teams to ensure high-quality implementation aligned to design intent • Apply secure-by-design and DevSecOps principles to all architectural solutions • Stay informed on trends in cloud services, architecture frameworks, and GenAI tooling Requirements: • 10+ years of software engineering and architecture experience • 3+ years designing application or system architectures (regardless of job title) • Hands-on experience designing and building cloud-native solutions (preferably on AWS) • Experience with modern architecture styles: microservices, APIs, event-driven systems • Experience integrating or prototyping with AI/ML/GenAI services or platforms • Proficiency in one or more languages such as Python, Java, or C# • Strong ability to articulate technical solutions, trade-offs, and system behavior to both technical and non-technical stakeholders • Exposure to GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) • Familiarity with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex)