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Principal Enterprise Architect - AI/ML

Vaco
$190,000.00 - $250,000.00 / yr
United States, California, San Diego
Apr 09, 2025
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

Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

EEO Notice

Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.

Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .

Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.

By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.

Privacy Notice

Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies.

  • California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
  • Virginia residents may access our state specific policies here.
  • Residents of all other states may access our policies here.
  • Canadian residents may access our policies in English here and in French here.
  • Residents of countries governed by GDPR may access our policies here.
Pay Transparency Notice

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

  • the individual's skill sets, experience and training;
  • licensure and certification requirements;
  • office location and other geographic considerations;
  • other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

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