Verified recordFinancial Services

Jonathan Lange

Principal Ai Solutions Architect Gtreasury at Gtreasury

Based in Chicago, United States

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Seniority

Other

Department

Other

Location

Chicago

Industry

Financial Services

Company size

254

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Email

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j•••••••@gtreasury.com

Phone

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Background

About Jonathan Lange

I turn AI vision into customer-facing features in months, not years—while transforming the teams and processes that make rapid deployment possible. At GTreasury (Hg Capital portfolio), I’ve: Compressed AI timelines from the industry standard of 12–18 months → 18 days for functional POC Launched to early-access customers in 4 months Delivered an AI Middleware validated by 3 independent parties and credited with $250K in infrastructure cost savings What Makes Me Different Most AI leaders excel at either technical execution or organizational change. I deliver both simultaneously: Technical Execution Production-grade GenAI systems with compliance from day one LLMOps frameworks, context engineering pipelines, vector databases (Pinecone, Weaviate, Milvus) Secure-by-design architecture across 8+ years Azure/AWS Organizational Transformation CSM/CSPO certified – fluent in product + process Converted platform engineering into agile Scrum teams Drove company-wide weekly sprint adoption Remove the cultural blockers that keep AI initiatives stuck in “demo” stage Executive Influence Presented at board level on AI adoption strategy Co-presented with CPO to 60+ CTOs at Hg Catalyst roundtables Translate architecture into ROI, time-to-value, and risk mitigation narratives 🧠 Context Engineering Framework I built GTreasury’s context engineering framework—the discipline that separates production AI from demos. This 6-dimensional approach governs AI outputs: Data inputs Prompt engineering Model selection Workflow architecture Evaluation pipelines Continuous monitoring I’ve shared this framework with 60+ CTOs across Hg’s portfolio. 8+ Years Driving Value Creation Rapid delivery: weeks/months, not quarters/years Cross-functional alignment across engineering, product, leadership, and customers Enterprise-wide change management: scaled agile adoption company-wide Risk-aware architecture: compliance, security, explainability baked in Recognized by Hg Capital as “10x AI talent” in their portfolio AI adoption analysis. 2025 Impact Highlights AI Middleware:$250K cost savings + 3-party validation Speed: 18-day POC → 4-month customer launch Org Transformation: Catalyzed weekly sprint adoption company-wide Thought Leadership: Speaker to 60+ CTOs at Hg Catalyst roundtables Executive Strategy: Board-level AI adoption presentations I thrive at the intersection of enterprise-grade AI systems, organizational transformation, and executive influence—delivering production-ready AI that creates measurable business value.

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