AI OPS Engineer (✨immediate start ✨)

## About the role AI-assisted development has crossed the threshold from experiment to production system. But most companies are still running AI like it's 2023: ad hoc tool adoption, no cost attribution, no safety guarantees, no cross-team consistency. That's not a tooling gap — it's an infrastructure gap. The AI Ops Engineer closes it. You'll own the platform that makes AI productive, safe, and economically rational across every team — engineering, product, operations, and beyond. You're not configuring tools. You're building the operating layer that determines how fast this company can learn, ship, and compound. If a Context Engineer makes AI effective within a codebase, the AI Ops Engineer makes AI effective everywhere — across repos, teams, workflows, and business functions. This is one of the highest-leverage roles in the company. ## What you'll own - AI-native CI/CD with quality, safety, and intelligence gates - Cross-repo agent infrastructure (Claude Code, MCP servers, shared context libraries) - Multi-model routing strategy and provider management - Token spend visibility and cost-per-outcome optimization - Internal automation workflows (n8n and beyond) - Security scanning and AI-specific risk management - Safe AI enablement for non-technical teams ## You're likely a fit if - You automate your own workflows unprompted - You have strong opinions about pipeline architecture - You get genuine satisfaction from systems that quietly work at scale ## Core background - DevOps, Platform Engineering, or Developer Experience — with deep CI/CD fluency, strong scripting ability, and an observability mindset - LLM API experience and familiarity with agent tooling are a strong plus ## This role reports to - The VP of Engineering / CTO - Has direct ownership of AI tooling spend - Compensation is benchmarked against senior platform engineering roles ## Compensation philosophy - This role sits at the intersection of infrastructure, AI, and company-wide leverage - Compensation reflects that — it's benchmarked against senior platform engineering roles, not junior DevOps ## The mindset we're hiring for - This is not "keep the lights on." This is build the power plant — then make it reliable, safe, observable, scalable, and intelligent - You'll be trusted with systems that influence how code gets written, reviewed, and shipped - How risk is controlled - How costs are managed - How quickly the entire company can learn, adapt, and execute - Every team's ceiling is partly determined by the platform you build - Every dollar of AI spend either compounds or evaporates based on the infrastructure you design ## If that sounds exciting - If you want to build the platform that makes everyone else sharper, faster, and more capable — this role is for you ## About the company - Ideawise is an equal opportunity employer