Lead Data Hybrid Cloud Architect jobs at Texas Instruments in United States, Dallas

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

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

Additional responsibilities include:

• Ownership of the management and implementation of AI and/or digital transformation projects from the initial planning phase through final rollout.
• Communication of project progress, challenges, and achievements to key stakeholders and sponsors.
• Identify potential project risks and develop mitigation strategies.
• Execution of each assigned project within the communicated delivery date
• Manage cross-functional teams, interface with various members of TI Law Department Leadership Team and coordinate with stakeholders both inside and outside the Law Department
• Identification and deployment of technologies and solutions that enable advanced automation, reporting, and data analysis.
• Deploy effective change management strategies to ensure the seamless adoption of new technologies within the TI Law Department
• Ensure projects comply with relevant legal and regulatory requirements.
• Stay up to date on industry trends and emerging technologies to keep the TI Law Department at the forefront of innovation.

Minimum requirements:

• Bachelor’s degree
• 5+ years of experience working in project management and/or business analysis
• Proficient in using information technology resources with the ability to quickly understand processes and ensure adherence to the same
• Able to deploy a systematic approach to work, and must have an aptitude for performing work functions in a coherent, timely and well-organized manner
• History of proven project management skills is a must
• Demonstrated ability to ensure projects are delivered on time
• High level communication skills is a must
• History of identifying system efficiency enhancements
• Ability to work in teams and collaborate effectively with people in different functions
• Keen eye toward adoption of emerging technologies
• Experience project managing AI transformation and/or business process transformation projects is a plus

Texas Instruments is seeking a Lead AI & Cloud Architect, you will be responsible for designing and implementing highly scalable data & AI systems, optimizing MLOps pipelines, and driving cloud modernization initiatives. You will work with cross-functional teams, including engineering, data science, and business leaders, to develop and scale enterprise AI solutions across onpremise, private cloud and secure public cloud platforms.

Key Responsibilities:

• Enterprise Data & AI Architecture: Define and implement AI and Data apps & Agents in a hybrid cloud architecture strategy that align with business objectives.
• Infrastructure as a code automation: Develop automation and abstractions for various Infrastructure , applications, data & AI governance frameworks, and automated AI workflows.
• Cloud Platform Optimization: Lead cloud transformation projects using public and private cloud on AWS, Kubernetes to ensure scalability and security.
• AI-Driven Business Innovation: Build and deploy composite AI -powered and predictive analytics solutions for real-world applications.
• Big Data & AI Pipelines: Design high-performance data platforms using Databricks, Spark, private cloud transient compute farm.
• Security & Compliance: Implement automation for execution of security policies, governance models, and compliance frameworks.
• Leadership & Collaboration: Guide AI teams, mentor engineers, and collaborate with senior stakeholders to drive AI adoption.
• Creates, evaluates and implements plans and design proposals for high impact IT solutions and their use involving leading edge technologies and methods considering key factors such as their long-term effectiveness (service delivery and cost), practicality, technical limitations and criticality.
• Leads or contributes to designs applied to all aspects of business systems and/or infrastructure prototypes and eventual implementation.
• Performs work of high complexity and derives logical processes based on technical platforms.
• Engages in performance/integration testing, problem analysis, business and technical analysis.
• Recommends changes in business processes, development, maintenance and system standards.
• Responsible for influencing business and IT leaders at all levels of the corporation on business process and technology.

Minimum requirements:

• Master's Degree in computer science or related fields
• 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

Texas Instruments is seeking a Lead AI & Cloud Architect, you will be responsible for designing and implementing highly scalable data & AI systems, optimizing MLOps pipelines, and driving cloud modernization initiatives. You will work with cross-functional teams, including engineering, data science, and business leaders, to develop and scale enterprise AI solutions across onpremise, private cloud and secure public cloud platforms.

Key Responsibilities:

• Enterprise Data & AI Architecture: Define and implement AI and Data apps & Agents in a hybrid cloud architecture strategy that align with business objectives.
• Infrastructure as a code automation: Develop automation and abstractions for various Infrastructure , applications, data & AI governance frameworks, and automated AI workflows.
• Cloud Platform Optimization: Lead cloud transformation projects using public and private cloud on AWS, Kubernetes to ensure scalability and security.
• AI-Driven Business Innovation: Build and deploy composite AI -powered and predictive analytics solutions for real-world applications.
• Big Data & AI Pipelines: Design high-performance data platforms using Databricks, Spark, private cloud transient compute farm.
• Security & Compliance: Implement automation for execution of security policies, governance models, and compliance frameworks.
• Leadership & Collaboration: Guide AI teams, mentor engineers, and collaborate with senior stakeholders to drive AI adoption.
• Creates, evaluates and implements plans and design proposals for high impact IT solutions and their use involving leading edge technologies and methods considering key factors such as their long-term effectiveness (service delivery and cost), practicality, technical limitations and criticality.
• Leads or contributes to designs applied to all aspects of business systems and/or infrastructure prototypes and eventual implementation.
• Performs work of high complexity and derives logical processes based on technical platforms.
• Engages in performance/integration testing, problem analysis, business and technical analysis.
• Recommends changes in business processes, development, maintenance and system standards.
• Responsible for influencing business and IT leaders at all levels of the corporation on business process and technology.

Minimum requirements:

• Master's Degree in computer science or related fields
• 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

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