# The Root Ventures — Chief Artificial Intelligence Officer

- Generated: 2026-08-30 09:29:46 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4460865197/
- LinkedIn job ID: 4460865197
- Provider: LinkedIn
- Company: The Root Ventures
- Title: Chief Artificial Intelligence Officer
- Work model/location: Full-time remote; United States
- Posting age at retrieval: 16 hours ago (exact timestamp not publicly exposed)
- Applicants: Be among the first 25 applicants
- Compensation: Not disclosed; the Chief title would otherwise satisfy Keith's standing missing-compensation caveat
- Travel: Not disclosed
- Positioning track: Executive leader
- Capability fit score before hard-gap decision: 92.9%
- Fit outcome: FAIL

## Central mandate

Define and lead AI vision and strategy across a portfolio of digital businesses; identify and prioritize high-impact opportunities; direct end-to-end AI solution development; establish governance, standards, performance measures, partnerships, and talent capability; and connect technical delivery to customer, operational, and revenue outcomes.

## Fit decision

FAIL. The canonical LinkedIn page explicitly states **“No longer accepting applications.”** A closed posting is a hard gap under the fit gate, so no resume, cover letter, or LinkedIn connection note may be generated without an explicit override. Before that hard-gap decision, Keith's source-supported capabilities cover 92.9% of the weighted requirements.

## Weighted evidence map

| Requirement | Weight | Evidence score | Evidence |
|---|---:|---:|---|
| Define AI vision, strategy, roadmaps, and business-aligned portfolio priorities | 3 | 3 | Defined AI strategy and product/platform roadmaps at Intelligent DataWorks, built NorthBay's AI/ML practice, prioritized 50+ analytics use cases at TriMark, and advised 200+ AWS enterprises. |
| Identify high-impact AI opportunities and guide end-to-end implementation | 3 | 3 | Built AssistX from concept to production in eight months with 70+ automations across 20+ workflows and up to 50x workflow acceleration; delivered enterprise data and AI platforms at TriMark, MassMutual, and SuccessKPI. |
| Direct multidisciplinary technical teams in model and platform development | 3 | 3 | Recruited and technically led 11 IDW engineers, seven SuccessKPI engineers, a 24-person NorthBay team, and AWS technical communities of 80-100 specialists. |
| Establish responsible-AI standards, governance, metrics, and best practices | 3 | 3 | Led MassMutual AI-governance architecture covering transparency, bias and drift; implemented controlled prompts, input validation, prompt-injection protections, auditability, and operational measures at IDW. |
| Design complex AI architectures, data pipelines, and modern data infrastructure | 2 | 3 | Architected production GenAI, RAG, agentic, AWS, vector-search, data-lake, analytics, and cloud-native platforms, including TriMark's 11-ERP data lake and IDW's full-stack AI platform. |
| Pattern recognition and NLP expertise | 3 | 2 | Direct LLM, RAG, NLP/NLU, SageMaker, TensorFlow, forecasting, and applied-ML work; pattern-recognition depth is supported broadly but not separately quantified as a recent specialty. |
| Computer-vision solutions for image or video analysis | 3 | 2 | Hands-on Amazon Rekognition exposure, AI/ML advisory for Thomson Reuters video-analysis work, and leadership of 3D imaging software and cloud delivery for the Lythos dental scanner; recent computer-vision model ownership is not documented. |
| Hands-on ML frameworks, cloud platforms, and production AI delivery | 3 | 3 | Hands-on TensorFlow, SageMaker, AWS, Python, LangChain, LangGraph, RAG, agents, PostgreSQL/PGVector, distributed systems, MLOps, and production deployment. |
| Executive communication and collaboration with business leaders | 3 | 3 | Advised 200+ enterprises including VP and C-level leaders, presented 50+ talks and workshops, and translated business needs into funded roadmaps and production systems. |
| Strategic partnerships and talent development | 2 | 3 | Built partnerships and customer relationships while repeatedly recruiting, training, mentoring, and scaling engineering and specialist teams. |

Weighted result: 78 of 84 possible points = 92.9%.

## Direct-match strengths

- Strong executive AI strategy, operating-model, roadmap, governance, cloud, data-platform, and multidisciplinary team-leadership evidence.
- Direct production delivery across Generative AI, RAG, AI agents, applied ML, forecasting, optimization, and cloud-native platforms.
- Quantified outcomes include 70+ automations across 20+ workflows, an eight-month commercial release, up to 50x workflow acceleration, a 60x reporting improvement, and 200+ AWS enterprises advised.

## Hard and material gaps

- Hard gap: the canonical LinkedIn posting is closed and no longer accepting applications.
- Computer vision is a material but potentially addressable depth caveat: Keith has imaging/video-analysis and Amazon Rekognition evidence, but recent end-to-end computer-vision model ownership is not documented.
- Pattern-recognition experience is supported through applied ML and historical AI work, but is not separately quantified as a recent specialty.
- Compensation and travel are not disclosed. Travel is not treated as a fit failure; the closed posting independently determines FAIL.
- Email/canonical mismatch: the alert email subject named “Vice President of Artificial Intelligence at Funda.ai,” but the supplied canonical URL resolves to this The Root Ventures CAIO listing. The live canonical posting is authoritative.

## Artifact decision and metadata

- Archived JD capture: https://files.keithsteward.com/The%20Root%20Ventures/Keith_Steward_Chief_Artificial_Intelligence_Officer_4460865197_JD_capture.md
- Resume: not generated because the fit gate returned FAIL and no override was supplied.
- Cover letter: not generated because the fit gate returned FAIL and no override was supplied.
- LinkedIn connection note: not generated because the skill prohibits one for FAIL roles.
- Google Drive used: no.

## Full normalized job description

Company Description
The Root Ventures focuses on building, managing, and scaling digital businesses across industries such as property, retail, industry, and commerce. The company combines strategic direction with hands-on operational support to strengthen each business’s digital presence and improve performance. Team members work closely with portfolio businesses to implement data-driven solutions that drive consistent, sustainable growth. The Root Ventures emphasizes long-term value creation, practical execution, and innovation in digital strategy to help businesses succeed in evolving markets.
Role Description
The Chief Artificial Intelligence Officer (CAIO) is a full-time remote role responsible for defining and leading the AI vision and strategy across The Root Ventures’ portfolio of digital businesses. This role oversees the identification of high-impact AI opportunities, evaluates feasibility, and guides end-to-end implementation of AI solutions in areas such as customer experience, operations, and revenue optimization. Day-to-day responsibilities include collaborating with business leaders to prioritize AI initiatives, directing technical teams on model development and deployment, and ensuring responsible, ethical use of AI technologies. The CAIO will establish AI standards, governance, and best practices, monitor performance metrics, and continuously refine solutions based on data and user feedback. This role also involves staying current with emerging AI trends, building strategic partnerships, and supporting talent development to maintain a strong AI capability across the organization.
Qualifications
Strong foundation in Computer Science and Data Science, with the ability to design and guide complex AI architectures and data pipelines.
Expertise in Pattern Recognition and Natural Language Processing (NLP) for building intelligent systems that understand and respond to structured and unstructured data.
Experience with Computer Vision for deploying solutions that leverage image and video analysis in digital products or operations.
Proven leadership in AI strategy, including defining roadmaps, setting governance frameworks, and aligning AI initiatives with business objectives.
Hands-on experience with machine learning frameworks and cloud platforms (e.g., TensorFlow, PyTorch, AWS, Azure, GCP) and modern data infrastructure.
Track record of managing multidisciplinary technical teams and collaborating effectively with non-technical stakeholders and executives.
Strong analytical, problem-solving, and communication skills, with the ability to explain complex AI concepts in accessible terms.
Advanced degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience; prior experience in scaling AI solutions within digital businesses is highly beneficial.