Change the world. Love your job. Are you someone who is: * Passionate about, and has demonstrated expertise in, enterprise architecture, data architecture and system engineering? * Curious and innovative, utilizing new and existing techniques to propose solutions and strategies to solve complex business challenges? * Collaborative and a strong communicator, working across business and IT teams to champion, educate, and drive new solutions and techniques? About the role The Sales and Marketing technology organization is responsible for delivering innovative solutions for the digital commerce, marketing, sales, and customer service domains. As a Software, Data and AI System Architect in this team, you'll collaborate with cross-functional teams to design and implement scalable and efficient solutions that drive the future of sales and marketing. Role and Responsibilities In this role, you will be expected to: * Leverage deep technical expertise in software, data and AI engineering to architect, engineer, and deploy customer-facing intelligent systems (recommendation systems, findability and search, multi-agent architectures, content generation) across the digital commerce, customer support, marketing, pricing and sales domains * Apply software engineering platforms/frameworks/concepts including: event-driven and microservices architecture (Apache Kafka, etc.), service-oriented architectures (SOA), API design and integration (RESTful APIs), cloud infrastructure, containerization (Docker, Kubernetes, etc.) data and system integration, DevOps & CI/CD pipelines (Jenkins, GitLab, etc), programming languages (Java, JavaScript, Python, C++) * Apply data and AI platforms/frameworks/concepts including: generative AI (LLMs), machine learning (NN, GNN, deep learning, classification, K-means clustering, etc.), retrieval-augmented generation / RAG, prompt engineering, agentic frameworks, fine tuning, Python, TensorFlow, PyTorch * Lead business and technical discussions, develop architectural vision, requirements, and strategic technology roadmaps in partnership with business and technical leaders * Design and implement solutions that are scalable, secure, and flexible using modern technologies and software engineering principles. Minimum requirements: * Bachelor's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, Mathematics, Management Information Systems or equivalent fields * At least 10+ years of relevant professional work experience in software engineering, data and AI engineering, and designing large-scale distributed systems Preferred Qualifications * Excellent problem-solving abilities and strategic thinking * Outstanding communication and interpersonal abilities, ability to translate complex technical concepts to non-technical stakeholders * Experience in leading nad mentoring teams of engineers and developers * Knowledge of data privacy regulations (e.g. GDPR, CCPA) and how they relate to sales and marketing technologies * Experience in sales and marketing, digital commerce, pricing, lead management and optimization including experience with MarTech platforms (marketing automation, customer data platforms, personalization engines, web analytics tools, etc.) * Experience with Agile methodologies and DataOps/DevOps practices Minimum requirements: * Bachelor's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, Mathematics, Management Information Systems or equivalent fields * At least 10+ years of relevant professional work experience in software engineering, data and AI engineering, and designing large-scale distributed systems Preferred Qualifications * Excellent problem-solving abilities and strategic thinking * Outstanding communication and interpersonal abilities, ability to translate complex technical concepts to non-technical stakeholders * Experience in leading nad mentoring teams of engineers and developers * Knowledge of data privacy regulations (e.g. GDPR, CCPA) and how they relate to sales and marketing technologies * Experience in sales and marketing, digital commerce, pricing, lead management and optimization including experience with MarTech platforms (marketing automation, customer data platforms, personalization engines, web analytics tools, etc.) * Experience with Agile methodologies and DataOps/DevOps practices