John McManus

About John McManus

As a Senior AI Architect, I design and implement enterprise-scale AI platforms that enable development teams to safely and effectively leverage large language models and advanced AI capabilities. My work centers on building production-ready AI systems using modern LLM frameworks, including architecting Model Context Protocol (MCP) integrations, developing custom agents, skills, and AI workflows, and connecting AI systems to internal enterprise platforms. I have built 13+ MCP integrations that securely connect AI models to internal services, developer tooling, and data platforms, enabling powerful AI-assisted workflows across the organization. I also develop specialized AI capabilities such as code review agents, developer productivity assistants, and automated engineering workflows, using tools such as Claude Code and other emerging AI ecosystems.In addition to hands-on development, I lead the enterprise rollout of AI development capabilities across multiple engineering teams, establishing patterns, governance, and best practices for responsible AI adoption. My work combines deep experience in software architecture and distributed systems with modern AI technologies, including transformer architectures, large language models, prompt engineering, tool-use frameworks, and agent-based systems. With decades of engineering experience across.NET, Python, and Java, I bring a pragmatic approach to integrating AI into real-world production systems—bridging traditional software engineering with the next generation of AI-native development.

Experience

1. Senior Ai Architect

   Ren

   Sep 2024 — Present

   Driving enterprise AI transformation by architecting and implementing an AI-powered development platform that integrates Claude Code (Anthropic) across 30+.NET/C# microservices, accelerating developer productivity by 40%+ as measured by commits, pull requests, and lines of code. Designed and built custom MCP (Model Context Protocol) servers connecting LLMs to internal systems including Jira, Confluence, Oracle, SQL Server, Bitbucket, GitHub, Datadog, TeamCity, and Octopus Deploy — enabling AI agents to operate with full organizational context. Pioneering autonomous AI coding workflows where agents independently implement features, write tests using TDD, create pull requests, and respond to code reviews with minimal human intervention. Architected RAG (Retrieval-Augmented Generation) pipelines with vector database indexing across hundreds of internal documents, enabling semantic search and context-aware AI responses grounded in organizational knowledge. Leading agent development and orchestration patterns — designing multi-agent systems that plan, execute, and validate complex software engineering tasks end-to-end. Built workflow orchestration using Temporal for durable, fault-tolerant distributed workflows across microservices. Core platform built on.NET 8, C#, and Azure, with data layers spanning Oracle, SQL Server, and Redis caching. Developed Python-based analytics and reporting tooling for measuring AI impact across the organization. Championing a pragmatic approach to AI integration — not replacing developers, but amplifying them — with dozens of engineers now using AI-assisted development daily across the portfolio.

Education

• Metropolitan State University of Denver

  Computer Science

  1985 — 1986

• University of Massachusetts Dartmouth

  BSME, Mechanical Engineering

  1977 — 1981

• Bristol Community College

  Engineering Technology

  1980 — 1981

• University of Denver

  MCIS, Software Engineering, GIS

  1994 — 2005

Skills

• Maven
• Architecture
• Network Function Virtualization (Nfv)
• Software Design
• Databases
• Uml Tools
• Weblogic
• Software Defined Networking (Sdn)
• Tomcat
• Camel
• Spatial Analysis
• Unix
• Amazon Web Services
• Graph Databases
• Cassandra
• Tibco Business Works
• Tibco Ems
• Cloud Computing
• Integration
• Enterprise Architecture
• Amazon Web Services (Aws)
• Architectures
• Testing
• Soa
• Hadoop
• Tibco Iprocess
• Mule Esb
• Titan
• C++
• Archimate
• Agile Methodologies
• Rackspace
• Talend
• Ip
• Gis
• Jboss Application Server
• Ruby on Rails
• Sdlc
• Apache Pig
• Eclipse