Texas Instruments Sales & Marketing Software Data AI Systems Architect 

United States, Texas, Dallas 

122731804

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?

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