# ThinKuvate — Vice President of Artificial Intelligence

- Generated: 2026-08-28 11:30:26 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4457799906/
- Posted: Posted Aug 27, 2026; exact time not disclosed
- Email alert received: Aug 28, 2026 11:18 PM EDT
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; the canonical JD explicitly states that this is a full-time remote leadership role and requires distributed-team collaboration
- Employment type: Full-time
- Compensation: Not disclosed; VP title qualifies under Keith's compensation rule
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: PASS — 87%

## Direct-match strengths

AI vision and strategy, use-case prioritization, production AI platforms, cross-functional AI leadership, NLP and conversational AI, modern ML/cloud/MLOps, executive communication, distributed teams, and responsible-AI governance are direct strengths.

## Hard or material gaps

Keith's advanced degree is in molecular biology rather than computer science, although the JD expressly accepts equivalent practical experience and his software/AI record is extensive. Formal experiment-design and pattern-recognition wording is less explicit than his direct forecasting, predictive modeling, TensorFlow, SageMaker, NLP, LLM, RAG, evaluation, and data-platform work. Compensation and travel are not disclosed.

## Weighted evidence map

1. Computer science, algorithms, software engineering, and system design — weight 2, score 2/3: Extensive production software, distributed-system, cloud, API, platform, and architecture evidence; degree is not in computer science.
2. Data science, analytics, statistical modeling, and data-driven decisions — weight 3, score 2/3: Direct predictive analytics, forecasting, optimization, Spark, TensorFlow, SageMaker, and enterprise analytics outcomes; formal experiment-design ownership is less explicit.
3. Pattern recognition and complex ML model design/training/evaluation — weight 2, score 2/3: Direct ML model, TensorFlow, SageMaker, forecasting, NLP, and evaluation work, though pattern-recognition terminology is not prominent in the sources.
4. NLP, language models, text analysis, and conversational AI — weight 3, score 3/3: Direct LLM, RAG, conversational AI, voice interaction, labor-law retrieval, agents, and NLP customer-advisory evidence.
5. Build and manage high-performing AI teams delivering production AI — weight 3, score 3/3: Recruited and technically led an 11-engineer AI team; delivered AssistX in eight months and previously led teams up to 25.
6. Python, TensorFlow/PyTorch, cloud ML services, and MLOps — weight 2, score 3/3: Direct Python, TensorFlow, SageMaker, AWS, AI lifecycle, evaluation, monitoring, deployment, and governance evidence; PyTorch is not claimed.
7. Executive and non-technical communication — weight 2, score 3/3: Advised 200+ enterprises and C-level leaders, delivered 50+ technical presentations, and repeatedly secured executive support for AI and data initiatives.
8. Advanced degree or equivalent practical experience — weight 1, score 2/3: Ph.D. in molecular biology plus more than two decades of practical AI, software, data, architecture, and leadership evidence.
9. Ethical AI, responsible data use, and regulation — weight 2, score 3/3: Direct privacy, bias, drift, transparency, auditability, lifecycle, security, human-oversight, CCPA/CPRA/GDPR, and HIPAA evidence.
10. Remote distributed collaboration — weight 1, score 3/3: Direct leadership of distributed teams at IDW, SuccessKPI, NorthBay, CambridgeSoft, and AWS.

Weighted result: 55 earned points / 63 possible points = 87.3%, reported as 87%.

## Full normalized job description

Company Description
ThinKuvate is an innovation-focused technology company that partners with brands to build and scale digital solutions. Drawing inspiration from success stories like InaEssentials, ThinKuvate emphasizes data-driven growth, customer-centric products, and global reach. The organization values entrepreneurial thinking, scientific rigor, and practical application of emerging technologies. Team members collaborate across borders to deliver high-impact solutions in dynamic markets. Joining ThinKuvate means contributing to advanced AI initiatives that support global digital transformation.

Role Description
The Vice President of Artificial Intelligence is a full-time remote leadership role responsible for setting and executing ThinKuvate’s AI vision and strategy. This role oversees end-to-end AI initiatives, from identifying business opportunities and defining use cases to supervising model development, deployment, and optimization. Daily responsibilities include leading cross-functional AI teams, guiding research and innovation, establishing standards for data quality and model governance, and collaborating with product, engineering, and business stakeholders. The Vice President will evaluate new AI technologies, shape the analytics roadmap, and ensure solutions are scalable, ethical, secure, and aligned with organizational goals. The position also involves mentoring talent, building external partnerships, and communicating AI outcomes and insights to executive leadership and clients.

Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, software engineering principles, and system design.
- Applied expertise in Data Science and Analytics, including statistical modeling, experiment design, and data-driven decision-making.
- Advanced skills in Pattern Recognition and machine learning, with experience in designing, training, and evaluating complex models.
- Hands-on experience with Natural Language Processing (NLP), including text analysis, language models, and conversational AI systems.
- Proven leadership experience building and managing high-performing AI teams, with a track record of delivering production-grade AI solutions.
- Familiarity with modern AI/ML tools and platforms (e.g., Python, TensorFlow/PyTorch, cloud ML services) and best practices in MLOps.
- Excellent communication skills for explaining complex technical concepts to non-technical stakeholders and influencing strategic decisions.
- Advanced degree in Computer Science, Data Science, Artificial Intelligence, or a related field; equivalent practical experience is also valued.
- Experience with ethical AI, responsible data use, and regulatory considerations related to AI and analytics.
- Ability to work effectively in a remote, distributed environment and collaborate across diverse teams and cultures.

## Artifact metadata

- Resume: https://bit.ly/3Uq4Awq
- Cover letter: https://bit.ly/4zL1gMs
- Validation: PASS — 2-page resume (943 words), 1-page cover letter (213 words); geometry, annotations, bounds, text extraction, and links verified.
- Google Drive used: No