Principal Enterprise Architect - AI/ML

Summary:

Our client 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 the company's business objectives and technological landscape.

Responsibilities:

• Develop and maintain a comprehensive enterprise architecture for AI/ML/GenAI initiatives, ensuring alignment with The company'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 The company's architectural principles.


• Create and maintain reference architectures, patterns, and best practices for AI/ML lifecycle and integration within The company'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, survival analysis, segmentation, and experimentation) 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 setting.


• Experience with cloud computing platforms (AWS, Google Cloud Platform, 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

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