About RJ Lindelof
Executive Profile: Agentic AI & Engineering Leadership
A 20+ year executive engineering leader recognized for driving transformative business outcomes through high-growth SaaS platforms, cloud-native migrations, and production-scale agentic AI adoption. I specialize in building, mentoring, and scaling high-performing global engineering teams - ensuring their output directly translates to measurable organizational success and ROI.
My operational mandate centers on platform engineering as a discipline - not just CI/CD pipelines, but the internal developer platform (IDP) that makes AI agent integrations sustainable, technical debt reduction achievable, and engineering velocity compounding. I establish the foundation that allows teams to ship with confidence at 10x scale.
My strategic focus is production-scale agentic AI - building multi-agent orchestration using MCP (Model Context Protocol) and A2A protocols that move AI from passive assistant to active operator in core workflows. I build the governance layer too: agent audit trails, reliability SLOs, cost accountability (FinOps for agents), and human-in-the-loop policies that give engineering organizations the confidence to scale AI responsibly.
Core Competencies
Scalable SaaS & Cloud Architecture
Multi-tenant SaaS platforms, cloud-native migrations, microservices architecture, and infrastructure that scales to support 10x growth without re-architecture.
Global Team Leadership (175+)
Built and led engineering organizations of 175+ engineers across onshore, nearshore, and offshore locations - delivering unified culture and consistent execution at global scale.
Agentic AI Orchestration & Governance
Production-grade multi-agent systems using MCP and A2A protocols, with full governance frameworks including audit trails, agent SLOs, and FinOps accountability.
Legacy Modernization & Digital Transformation
Monolith-to-microservices migrations, cloud-native re-architectures, and technical debt remediation - delivered under real-world operational constraints without disrupting the business.
Platform Engineering, DevEx & CI/CD Excellence
Internal developer platforms (IDPs), AI-augmented developer toolchains, observability-first culture, and CI/CD pipelines optimized for deployment velocity and quality gates.
M&A Technical Due Diligence
Comprehensive technical assessments of acquisition targets: platform scalability, architecture risk, technical debt quantification, team capability, and integration complexity analysis.
Multi-Agent Systems & MCP Implementation
Design and implementation of multi-agent orchestration architectures using Model Context Protocol (MCP) and A2A protocols - production-ready agent systems with full operational visibility.
Budgeting & P&L Management
Full P&L ownership for engineering organizations, infrastructure FinOps, AI cost accountability, and technology investment ROI reporting for board-level stakeholders.
Technologies & Tools
Languages & Frameworks
- TypeScript, Python, Java, Go
- Node.js, FastAPI, Spring Boot, .NET Core
- React 19, Next.js, Vue 3
- REST, GraphQL, gRPC, OpenAPI
Cloud & Databases
- AWS (Lambda, Bedrock, EKS, S3)
- Azure (AKS, OpenAI Service, Functions)
- Google Cloud (Cloud Run, Vertex AI)
- PostgreSQL, MongoDB, Redis, pgvector
Platform Engineering & DevOps
- Docker, Kubernetes, Terraform, Pulumi
- GitHub Actions, ArgoCD, Jenkins
- OpenTelemetry, Datadog, Grafana
- Backstage (IDP), SonarQube, Playwright
AI & Agentic Systems
- Claude (Anthropic), GPT-4o, Gemini
- MCP (Model Context Protocol), A2A Protocol
- LangGraph, CrewAI, AutoGen
- Claude Code, GitHub Copilot, Cursor