AI Solutions Owner & Program Leader

I design and deliver agentic AI systems that connect models, enterprise platforms, workflows, and operational infrastructure. My focus is turning AI from an isolated assistant into a controlled, auditable system that produces measurable business outcomes.

I work across technical product strategy, program execution, solution architecture, and hands-on prototyping—especially where permissions, reliability, human oversight, and adoption matter.

Open to full-time and contract AI product/program roles.

A structured orchestration system that coordinates multiple AI providers through proposal, critique, revision, synthesis, and ratification.

Signals: Multi-agent systems · LLM orchestration · Decision quality · Workflow design

A human-in-the-loop workflow for cleaning stakeholder directories, segmenting contacts, synchronizing structured data, and generating context-aware outreach drafts without automatically sending them.

Signals: Business-process automation · Google APIs · Human governance · Operational design

A provider-agnostic approach to reducing repeated agent instructions and token consumption while preserving correctness, safety, and task quality.

Signals: Context engineering · Agent efficiency · Cost optimization · Reusable architecture

Projects and reference architectures spanning agentic workflows, enterprise integration, automation, and secure infrastructure.

Two sanitized, runnable reference implementations are in development:

• Microsoft Graph MCP integration using mocked enterprise data
• Approval-gated Jira MCP actions using mocked project data

They are designed to demonstrate safe enterprise integration patterns without exposing operational accounts, employer information, client data, or credentials.

• Agentic AI products and operating models
• Model Context Protocol integrations
• Multi-agent orchestration and verification
• Enterprise workflow automation
• Approval-gated and human-in-the-loop actions
• Secure AI infrastructure and deployment patterns
• Product roadmaps, governance models, and delivery programs

Business outcome
      ↓
Product strategy and governance
      ↓
Agent orchestration and MCP integrations
      ↓
Enterprise systems and workflows
      ↓
Human approval, auditability, and measurement

AI and agents: OpenAI · Gemini · Claude · DeepSeek · MCP · Agentic workflows · Context engineering
Development: Python · TypeScript · JavaScript · PowerShell · Node.js
Integration: Microsoft Graph · Google APIs · Jira · GitHub · REST APIs · OAuth
Infrastructure: Linux · Docker · Oracle Cloud/VPS · GitHub Actions · Cloudflare

• Portfolio: jasonsant.dev
• X: @Jason_Agentic