Ralph Charles Evert IV — Miami Beach, FL
I lead enterprise AI end to end — running the sales cycle, advising the C-Suite, architecting the platform, leading the engineering, and owning the product — across financial services, healthcare and life sciences, federal, and the Fortune 500.
Recommendations & awards
A rotating snapshot of external validation: delivery leadership, technical depth, mentorship, and AI-native sales impact.
“Deep technical expertise in AI/ML — and seamless translation into clear tradeoffs for business leadership.”
[A]mplify [I]mpact Award — top 10 in PwC US Advisory for AI-driven sales and delivery.
“Technical leadership was instrumental in guiding our team to deliver a state-of-the-art solution.”
Outstanding Performance Award for moving an external-facing GenAI chatbot into production for 1M+ monthly users.
“He builds entire projects and teams that perform to an exceptionally high level.”
2024 STAR Award for engineering excellence across Deloitte’s Strategy & Analytics practice.
“He pushed me toward professional standards and real-world practices in a post-AI landscape.”
Outstanding Performance Award for Anthropic governance, delivery enablement, and technical leadership.
“Consistent guidance, practical advice, and thoughtful perspective during my military transition.”
Outstanding Performance Award for winning a Workday GenAI ideathon and productizing GoalAssist.
Focus
AI initiatives fail in the gaps between functions. My career was built across all of them — fewer handoffs, faster decisions, and systems that reach production.
Originated and managed $3M+ in sole-source AI deals from first conversation to production — SOW development, deal management through Salesforce and SAP S/4HANA, and phased delivery plans that conform to budget.
Shipped the first enterprise GenAI platform at J&J Consumer Health two months after ChatGPT's launch; engineered a 6.3B-record embeddings pipeline saving $18M/year; builds daily with agentic development tools.
Group PM for the Human Capital AI Suite (5+ products); owned product lifecycles from requirements through launch — success metrics, ROI models, and adoption KPIs tied to business outcomes.
Architected enterprise GenAI platforms and strategy for two of the largest financial advisory firms across five-year roadmaps — RAG, agentic orchestration, and LLM evaluation, bridging architecture, governance, and delivery.
C-Suite advisor on Agentic AI strategy and risk; primary delivery escalation point for multi-billion-dollar clients. Co-authored the enterprise GenAI governance policy with the CIO, General Counsel, and CISO at J&J.
Built repeatable AI capability, not just project teams: created a Claude training completed by 1,000+ Deloitte practitioners; at PwC, created the sales and delivery standards for AI-age dealmaking and trained Partners, Managing Directors, PMs, and engineers by doing the work with them.
Featured case study · 20-minute fullscreen walkthrough
A Fortune 500 financial advisory institution had a manual operating model for contact-driver analytics and knowledge-gap remediation. I identified the business case, prototyped the solution, converted it into scoped work, led delivery and readiness, and expanded the account through an accelerator-to-delivery model I have proven at PwC and Deloitte.
Experience
Three roles, one through-line: enterprise AI taken from idea to production at scale.
Executive advisory to sales to implementation lead, owning client relationships and long-term roadmaps for enterprise Agentic AI platforms. Acting Delivery Director for two major financial services clients; presales support across airlines and life sciences.
Tech Lead and Group Product Manager for a portfolio of GenAI products — from idea and pitch to production — while establishing the firm's Anthropic relationship and technically upskilling delivery teams.
Pioneered the first Generative AI use cases at J&J Consumer Health within two months of ChatGPT's launch, working with the C-Suite to productionize capabilities. Evolved from data engineer on the R&D Search & BI platform to tech lead for multiple enterprise AI platforms.
Co-authored 4 peer-reviewed papers; presented at conferences with 100+ attendees. NLP sentiment analysis of 100K+ tweets using NLTK, VADER, Scikit-Learn, and Pandas.
Managed paid advertising and social media for a 650+ unit community. Saved $40K/year auditing budgets; built lead-tracking data pipelines.
Fort Benning, GA. Honorable discharge. Operated under pressure with incomplete information; jumped out of planes.
Capabilities
The story is not a list of tools. It is a repeatable operating pattern: sell the right problem, prototype quickly, govern delivery, and teach teams to build the muscle.
Convert messy stakeholder pain into value trees, demos, SOWs, RFP responses, and phased delivery plans.
Prototype the art of the possible and turn it into enterprise-ready architecture, data flows, evaluations, and guardrails.
Operate the program at three altitudes: team execution, leadership unblocking, and C-suite sponsorship.
Create standards, trainings, and delivery motions so teams learn by doing and clients leave with ownership.
Produced in public
I do not just deliver client work. I publish, teach, patent, and build in public across enterprise AI, data science, and creative AI.
Credentials
Credentials are grouped by how they show up in work: platforms, agentic delivery, and analytics/product craft.
For the persistent
1 to 100. Ten guesses. Win and something good happens.
Contact
Open to senior leadership roles in Applied AI — and conversations about enterprise AI strategy, architecture, and delivery.