Principal Enterprise AI/ML Architect
Company: Nutanix
Location: San Diego
Posted on: October 17, 2024
Job Description:
Company:Qualcomm IncorporatedJob Area:Information Technology
Group, Information Technology Group > Enterprise
ArchitectureGeneral Summary:Qualcomm is seeking an exceptional
Principal Enterprise AI/ML Architect to lead the strategic
integration of AI and machine learning capabilities across our
enterprise architecture. This role demands a unique blend of
expertise in enterprise architecture, AI/ML, data science, and a
deep understanding of the semiconductor industry. 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.Principal Duties and Responsibilities:
- Develop and maintain a comprehensive enterprise architecture
for AI/ML/GenAI initiatives, ensuring alignment with Qualcomm's
overall business strategy and technology roadmap.
- Assess current state AI/ML/GenAI capabilities across various
business domains, identify gaps, and design target state
architectures to drive innovation, revenue growth, and operational
excellence.
- Lead transformational initiatives to bridge the gap between
current and desired AI/ML capabilities, collaborating with
cross-functional teams to ensure successful implementation.
- Establish governance frameworks and decision criteria for AI/ML
and GenAI projects, ensuring adherence to industry standards,
regulatory requirements, Responsible AI, and Qualcomm's
architectural principles.
- Create and maintain reference architectures, patterns, and best
practices for AI/ML lifecycle and integration within Qualcomm's
enterprise ecosystem.
- Lead the technology evaluation and process improvements to
drive Experimentation, Model Development, and ML Ops at scale.
- Lead and drive standardization of LLM onboarding process, RAG
pipelines, and application development.
- Conduct architecture reviews and risk assessments for proposed
AI/ML solutions, ensuring they meet security, scalability, and
interoperability requirements.
- Utilize advanced data science techniques (e.g., Natural
Language Processing, clustering, predictive analytics, regression
analyses) to propose enhancements and innovations to business
processes.
- Conduct sophisticated statistical analyses and maintain high
reliability of machine learning pipelines in production
environments, ensuring minimal downtime and optimal
performance.
- Collaborate with business leaders to identify opportunities for
AI/ML-driven innovation and guide the development of use cases that
deliver tangible business value.
- Oversee the design and implementation of data pipelines and
AI/ML models, ensuring they integrate seamlessly with existing
enterprise systems and processes.
- Develop strategies for data governance, quality, and management
to support AI/ML initiatives across the organization.
- Influence executive and senior leadership on the strategic
adoption of AI/ML technologies and their impact on business
processes and outcomes.
- Foster a culture of continuous learning and innovation in AI/ML
practices across the enterprise architecture team and broader
organization.Minimum Qualifications:
- Master's Degree in Computer Science, Information Systems, Data
Science, or a related field.
- 8+ years of experience in enterprise architecture, with a focus
on AI/ML integration and transformation projects.
- Proven experience in leading enterprise-wide transformations of
AI/ML capabilities.
- Strong understanding of enterprise architecture frameworks
(e.g., TOGAF, Zachman) and modeling languages (e.g.,
ArchiMate).
- Proficiency in data architecture and AI/ML technologies (AI
Orchestration, Feature stores, ML observability, etc.), frameworks,
and their application in enterprise settings.
- Experience with cloud computing platforms (AWS, GCP, Azure) and
their AI/ML offerings.
- Excellent communication skills, with the ability to articulate
complex architectural concepts to both technical and non-technical
stakeholders.
- Demonstrated leadership in driving cross-functional initiatives
and facilitating organizational change.
- Player-coach mindset with excellent collaboration skills to
drive pragmatic changes.Preferred Qualifications:
- PhD in Data Science/Machine Learning, Mathematics/Statistics,
Computer Science, or a closely related field.
- TOGAF certification and ArchiMate 3 Practitioner
Certification.
- Experience in the semiconductor industry or related high-tech
manufacturing environments.
- Proficiency in programming languages relevant to AI/ML (e.g.,
Python, R) and data manipulation (SQL, NoSQL).
- Familiarity with advanced AI/ML techniques, including deep
learning, NLP, and generative AI models.
- Experience with business architecture and business capability
modeling.
- Strong background in information security architecture and data
privacy principles.
- Proven track record of successful large-scale AI/ML
transformations in enterprise settings.Education Requirements:
- Master's Degree in Cognitive Science, Data Science/Machine
Learning, Statistics, Mathematics, Computer Science, or a related
field is required.A PhD in the aforementioned fields is strongly
preferred.Pay range: $168,400.00 - $252,600.00The 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.
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!
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Keywords: Nutanix, Temecula , Principal Enterprise AI/ML Architect, Professions , San Diego, California
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