Texas Instruments Lead AI Systems Architect 

United States, Texas, Dallas 

816411784

Texas Instruments is seeking a Lead AI Systems Architect. You will be responsible for designing and implementing composite AI strategies that optimize semiconductor manufacturing, Digital selling, supply chain, and enterprise operations. You will work cross-functionally with engineering, data science, and IT teams to define scalable composite AI/ML architectures , application and deploy hybrid solutions at industrial scale that drive business value. Your expertise will help establish AI adoption, governance, and AI implementation at scale.

Key Responsibilities:

• AI Strategy & Roadmap: Develop and execute the AI architectural roadmap aligned with business objectives, ensuring seamless integration into the IT landscape.
• AI Solution Design: Architect and implement scalable end to MLOPs engineered systems, AI/ML models
• Private Cloud & Edge AI Integration: Design hybrid AI solutions leveraging cloud computing, edge computing, and on-premise infrastructure.
• MLOps & Model Lifecycle Management: Establish robust MLOps pipelines, ensuring efficient model development, deployment, and governance.
• AI Infrastructure & Performance Optimization: Work with IT and data engineering teams to optimize compute resources and fine-tune AI models for performance and scalability.
• Emerging Technologies & AI Adoption: Evaluate and incorporate advancements in Generative AI, multi-agent architectures, reinforcement learning, and knowledge retrieval.
• AI Controls & Compliance: Develop AI governance frameworks, model observability, and policy enforcement to align AI usage with organizational goals and regulatory requirements.
• AI Opportunity Identification & POC/POV Initiatives: Lead the identification of AI-driven business opportunities, driving proof-of-concept (POC) and proof-of-value (POV) initiatives.
• Leadership & Collaboration: Provide technical leadership to AI teams, mentoring engineers and data scientists while fostering a culture of AI innovation.
• AI-Driven Decision Intelligence: Collaborate with business stakeholders to implement AI-driven decision systems, automation frameworks, and recommendation engines.

Minimum requirements:

• Masters inComputer Science, AI, Data Science, or a related field
• Minimum of 10+ years of experience.

Preferred qualifications:

• Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
• Strong verbal and written communication skills
• Ability to quickly ramp on new systems and processes
• Demonstrated strong interpersonal, analytical and problem-solving skills
• Ability to work in teams and collaborate effectively with people in different functions
• Ability to take the initiative and drive for results
• Strong time management skills that enable on-time project delivery