**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. **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws. If you are interested in this position, please apply to this requisition. **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