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, 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