Founder Profile
Jonathan Major is the founder of Agentic Studio Labs, an AI engineering consultancy that builds and ships production AI systems, agentic workflows, and compliance-grade tooling. He works with teams that need a real system built under enterprise, security, and regulatory constraints — not a slide deck.
Founder, Agentic Studio Labs · Senior AI Engineer
Jonathan works best on serious builds: AI products, internal systems, and agentic workflows where architecture, trust boundaries, and production handoff matter. The work is less about abstract AI strategy and more about getting a real system built, deployed, and handed over cleanly.
Recent systems shipped under Agentic Studio Labs include ShellScan (pre-deployment security scanning for AI agent skills and MCP servers) and IngestGate (a retrieval quality gate for RAG pipelines) — the full build log lives on the technical profile.
The value here isn't generic AI enthusiasm. It's delivery experience, enterprise operating history, and security judgment combined — the mix that makes serious systems easier to trust.
Agentic Studio Labs sits at the intersection of AI engineering, enterprise platform delivery, and security-sensitive operating environments.
Builds and deploys AI systems that do real work: agentic workflows, retrieval systems, evaluation layers, context infrastructure, and productized internal tooling.
Strong on orchestration, tool use, MCP servers, LangGraph-style multi-agent patterns, and the hard edges around handoff, control, and observability.
Deep experience with trust boundaries, AI risk, compliance programs, audit workflows, threat modeling, MDR/DFIR, and production controls for regulated work.
Comfortable in environments where deployment quality, integration complexity, and executive credibility matter as much as model choice or demo quality.
The full detail — every shipped system, every engagement — lives on the technical profile. This is the buyer's-eye summary.
Builds production AI systems for teams with real workflows, meaningful constraints, and a need for clean technical handoff.
Led security and compliance work across SOC 2, ISO 27001, privacy, threat modeling, DFIR, and operational audit readiness while also building applied AI systems and supporting infrastructure.
From founding engineering leadership through enterprise platform execution, including engineering, operations, InfoSec, and delivery responsibility in complex data environments.
Built large-scale delivery, testing, and operational systems at BlackRock, Barclays Global Investors, Charles Schwab, and Lotus/IBM.
If you're assessing fit, the fastest paths are the full technical profile or shipped project examples. When there's a real system on the table, book the call.