Enterprise Architect, Principal (AI)
Qualcomm · Colorado - Remote, United States of America ·
- Work mode
- Onsite
- Seniority
- Principal
- Employment
- Full time
- Category
- Architecture
- Experience
- 6+ years
Qualcomm · Colorado - Remote, United States of America ·
General Summary:
Qualcomm is seeking a highly skilled and experienced Enterprise Architect to join our Enterprise Architecture Team. In this role, you will be instrumental in shaping the future of Qualcomm’s enterprise technical and AI architecture practice, ensuring it aligns with our business goals and technological advancements. You will be responsible for developing and implementing comprehensive enterprise strategies, overseeing architecture review boards, and driving business value through sound enterprise architecture practices and a deep understanding of AI strategy and the agentic AI ecosystem.
The ideal candidate will possess a strong command of various enterprise architecture domains, including business, AI, technology, application, data, security, infrastructure, and cloud architecture. With a strong foundation in TOGAF and BIZBOK frameworks, along with extensive experience modeling in Archimate and UML, you will leverage your expertise to define best practices and execute responsibilities to mature the overall practice. Your ability to collaborate with cross-functional teams and drive continuous improvement will be key to your success in this role.
As an experienced Enterprise Architect, you will bring several core elements to Qualcomm, including strategic vision and the ability to develop and implement enterprise architecture strategies that align with Qualcomm's business objectives and drive long-term success. You will have expertise in best practices for enterprise architecture review boards, ensuring architectural integrity and governance. Proficiency in conducting business value stream mapping exercises to identify opportunities for process improvement and innovation is essential.
The ideal candidate will have a deep understanding of the strategic integration of AI and machine learning capabilities across our enterprise architecture. This role demands a unique blend of expertise in enterprise architecture, data science, and core technology capabilities. The successful candidate will be instrumental in assessing current AI/ML capabilities, defining target states, and orchestrating transformations that align with Qualcomm's business objectives and technological landscape.
Strong collaboration skills to work with cross-functional teams and design enterprise-wide solutions, ensuring compliance with enterprise security standards and best practices, are also required. Additionally, providing guidance and mentorship to junior architects and other team members, staying current with industry trends and emerging technologies to drive continuous improvement, and leveraging experience to define and execute responsibilities are key components of the role.
This role requires full-time onsite work in San Diego, CA (5 days per week).
Principal Duties and Responsibilities:
Develop and Implement Enterprise Architecture Strategies: Create and execute comprehensive strategies that align with Qualcomm's business objectives, ensuring that the enterprise architecture supports and enhances business goals.
Develop and Maintain a Comprehensive Enterprise Architecture for Qualcomm’s AI Landscape: Ensuring alignment with Qualcomm's overall business strategy and AI technology roadmap. Assess current state AI/ML capabilities across various business domains, identify gaps, and design target state architectures to drive innovation and operational excellence.
Ensure Enterprise Alignment for AI Transformational Initiatives: Collaborate with cross-functional teams and executive leadership to bridge the gap between current and desired AI capabilities, preserving enterprise concerns in terms of corporate strategy, industry best practices, and overall agentic security.
Establish AI Governance: Establish governance frameworks for AI capability, ensuring adherence to industry standards, regulatory requirements, and Qualcomm's architectural principles.
Ensure AI Cohesion: Create and maintain reference architectures, patterns, and best practices for AI/ML integration within Qualcomm's enterprise ecosystem. Identify opportunities to integrate AI and other emerging technologies into the enterprise architecture. Develop strategies to leverage these technologies to drive innovation and business value.
Lead Architecture Review Boards: Ensure architectural integrity and governance across a wide breadth of technology concerns. Lead these boards to review and approve architectural decisions, fostering a culture of accountability and continuous improvement.
Conduct Business Value Stream Mapping: Perform detailed business value stream mapping exercises to identify opportunities for process improvement and innovation. Use these insights to drive efficiency and effectiveness across the organization.
Collaborate with Cross-Functional Teams: Work closely with various teams across the organization to design and implement enterprise-wide solutions. Foster strong relationships and ensure that architectural solutions meet the needs of all stakeholders.
Ensure Compliance with Security Standards: Develop and enforce enterprise security standards and best practices. Ensure that all architectural solutions comply with these standards to protect Qualcomm's data and systems.
Provide Guidance and Mentorship: Offer guidance and mentorship to junior architects and other team members. Share knowledge and expertise to help develop the skills and capabilities of the team.
Stay Current with Industry Trends: Keep up-to-date with the latest industry trends and emerging technologies. Use this knowledge to drive continuous improvement and innovation within Qualcomm's enterprise architecture.
Define and Execute New Responsibilities: Leverage your experience to identify and define responsibilities that are currently not being conducted. Implement these responsibilities to mature the overall enterprise architecture practice and ensure it evolves to meet industry demands.
Develop Infrastructure and Cloud Strategies: Create and implement strategies for infrastructure and cloud architecture that align with Qualcomm's business goals. Ensure that these strategies support scalability, reliability, and security.
Modeling in Archimate and UML: Utilize Archimate and UML for modeling enterprise architecture. Ensure that models are accurate, comprehensive, and support decision-making processes.
Drive Innovation through Technology: Identify and implement innovative technologies that can drive business value. Stay ahead of technological advancements and ensure that Qualcomm's enterprise architecture remains cutting-edge.
Develop and Maintain Architecture Frameworks: Develop and maintain architecture frameworks, standards, and guidelines to ensure consistency and interoperability across the organization.
Provide Technical Leadership: Provide technical leadership and guidance to the Enterprise Architecture team, fostering a culture of innovation and continuous improvement.
Partner with Business and IT Stakeholders: Partner with business and IT stakeholders to understand business requirements and translate them into effective architectural solutions.
Oversee IT Systems and Infrastructure: Oversee the design and implementation of scalable, secure, and high-performance IT systems and infrastructure.
Ensure Regulatory Compliance: Ensure compliance with regulatory requirements and industry best practices.
Manage External Relationships: Manage relationships with external vendors and partners to ensure the delivery of high-quality services and solutions.
Monitor Emerging Technologies: Monitor and evaluate emerging technologies and industry trends to identify opportunities for innovation and improvement.
Minimum Qualifications:
Master's Degree in Cognitive Science, Data Science/Machine Learning, Statistics, Mathematics, Computer Science, or a related field is required
20+ years of experience in IT, with at least 6+ years in an enterprise architecture role with a focus on AI strategy, integration and transformation projects for large organizations
Proven experience in assessing organizational AI capabilities and leading enterprise-wide transformations
Strong understanding of Zero Trust Agentic AI security architecture
Proven experience in developing and implementing enterprise architecture strategies and frameworks
Knowledge of enterprise architecture frameworks such as TOGAF, Zachman, or FEAF
Strong understanding of BIZBOK concepts
Proficiency in data architecture, including data modeling, ETL processes, and database technologies
Understanding of business processes modeling tools and techniques such as BPMN and ArchiMate
Excellent leadership, communication, and interpersonal skills
Ability to work effectively in a global, matrixed organization
Experience with cloud computing, data management, and cybersecurity
Strong problem-solving and analytical skills
Ability to translate business needs into architectural solutions
Extremely high level of attention to detail in written communication, documentation, and presentation material
Familiarity with project management methodologies and frameworks such as SAFe
Strong analytical and problem-solving skills
Excellent communication, presentation, and collaboration skills, as the position requires working closely with stakeholders at all levels of the organization
Strong leadership and change management skills to drive the adoption of new business processes and systems
Ability to work effectively in a team environment
Preferred Qualifications:
Professional certifications such as TOGAF, Zachman, or similar
AWS, Azure, or GCP Certification
ArchiMate 3 Practitioner Certification
BPM Certification
Experience in the semiconductor industry or a related field
Deep knowledge of Cyber Security
Semiconductor industry experience
Demonstrated success in leading large-scale enterprise transformation projects
Advanced understanding of financial modeling and budgeting in relation to IT investments and ROI
Education Requirements:
Master’s Degree in Cognitive Science, Data Science/Machine Learning, Statistics, Mathematics, Computer Science, or a related field is required
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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Pay range and Other Compensation & Benefits:
$192,600.00 - $289,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.