About RJ Lindelof
RJ Lindelof is an engineering executive and intent engineering practitioner who operationalizes agentic AI across the full software development lifecycle - moving AI from pilot to production as real delivery infrastructure, not sandbox tooling. With over two decades writing software and fifteen years leading engineers - thirteen of those years as an individual contributor before management - he has watched development evolve from desktop applications to cloud-native systems to AI-native, agent-driven workflows. He still writes code daily.
He has run engineering organizations at PE- and venture-backed companies and mid-market enterprises, always in close partnership with product - scaling multi-tenant SaaS platforms, modernizing cloud infrastructure on AWS and Azure, and putting agentic AI systems into production. The through-line is technology strategy in service of the business: engineering execution aligned with company strategy so that delivery accelerates, infrastructure cost drops, and the value shows up on a scoreboard that customers and investors both recognize. Automation, performance, and reliability are built into high-growth environments from the start, not retrofitted after the first outage.
His focus is the AI-native SDLC: Claude Code, GitHub Copilot, OpenAI Codex, AWS Kiro, and Gemini running as first-class CI/CD pipeline stages, governed by MCP for tool access and evals as CI gates. The outcomes that matter are measured, not promised - 5x deploy frequency, 23% PR throughput gain, test coverage lifted from under 10% to 40% with no dedicated QA team, new-engineer onboarding cut 70%, and MTTR cut 30%, all at 99.95% SLA in regulated HealthTech, EdTech, and B2B SaaS environments.
The highest-leverage thing he does for a company is the judgment call on where AI earns its keep and where it actively makes things worse. That judgment is grounded in production reality: 250+ sites migrated with intent-driven agents, agentic platforms shipped on Python, FastAPI, and self-hosted open-weight models, and HIPAA, SOC 2, ISO 27001, and HL7/FHIR posture held in production. He is a player-coach and servant leader who champions psychological safety and has no patience for AI theater.
The teams are the other half of the job. RJ hires, develops, and retains high-performing engineers, and he has been doing it across distance for a long time - hybrid teams since 2006 and fully remote, global teams since 2012, well before distributed work was the default. Those teams have spanned the United States, Central America, Ukraine and the wider Eastern Europe region, Germany, India, China, and the Philippines - onshore, nearshore, and offshore - and he runs them as one engineering organization with shared ownership of outcomes, not a vendor at the far end of a ticket queue.
RJ writes about this work across his sites: engineering leadership and the AI-native SDLC at rjl.dev, the AI-native SDLC in production at rjl.ai, fractional CTO and AI consulting at rjl.guru, and the discipline of aligning agents with business outcomes at intentengineering.dev.
Not actively searching, but the door is never closed. RJ is always open to a conversation about a VP-level engineering leadership role - for the right company and the right fit, let's talk. Consulting, speaking engagements, and collaboration inquiries are welcome as well: use the contact form below, or visit rjl.dev to connect.