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Cto Sovereign Ai Control Plane

💼 Full-time🗓 2026-07-27

Core

Design and build a secure, resilient, and highly scalable control plane to orchestrate LLMs and agentic workflows across hybrid, on-prem, and air-gapped environments for highly regulated industries.

Role type

Technical Co-Founder / CTO (Zero-to-One Builder)

Builds

Enterprise-grade Sovereign AI Control Plane for banking, finance, healthcare, and government frameworks

Domain

Generative AI, Distributed Systems, Enterprise Security, Cloud-Native Infrastructure

Deliverable

production ML models | infrastructure | product features

Required skills

Distributed systems architecture, Cloud-native architecture, Enterprise security, LLMs and agentic workflows, Vector databases, Kubernetes, Docker, FinOps, B2B SaaS development, Deep-tech enterprise software development

Preferred skills

Experience in fintech, healthtech, defense, or compliance-heavy environments

Technologies

Kubernetes, Docker, LLMs, Vector databases

Responsibilities

Design and build a secure, resilient, and highly scalable control plane; Make definitive choices on infrastructure, security protocols, and AI integration frameworks; Rapidly build and iterate on early MVPs; Recruit, mentor, and lead an elite team of engineers; Collaborate on product roadmaps, fundraising pitches, and technical discussions with enterprise clients and institutional investors

Seniority

Co-Founder, hands-on IC & strategy

Rewrite
## About the Role As our Technical Co-Founder, you won't just manage a team—you will lay the foundational code, design the core architecture, and make critical technology choices that define our product trajectory. You will partner directly with the founding business and product leadership to transform a massive market opportunity into an enterprise-grade platform. ## What You'll Do - Architect from Scratch: Design and build a secure, resilient, and highly scalable control plane capable of orchestrating LLMs and agentic workflows across hybrid, on-prem, and air-gapped environments. - Own the Tech Stack: Make definitive choices on infrastructure, security protocols, containerization (Kubernetes/Docker), and AI integration frameworks. - Lead Product Engineering: Rapidly build and iterate on early MVPs, balancing speed-to-market with the robust security required by enterprise clients. - Build the Engineering Culture: Recruit, mentor, and lead an elite team of engineers focused on distributed systems, DevOps/FinOps, and AI safety. - Partner on Strategy: Collaborate on product roadmaps, fundraising pitches, and technical discussions with enterprise clients and institutional investors. ## Who We Are Looking For - The Architecture Expert: You have deep technical expertise in distributed systems, cloud-native architecture, enterprise security, or cloud cost optimization (FinOps). - AI & Agentic Savvy: You have a strong grasp of Large Language Models (LLMs), vector databases, and orchestrating complex agentic workflows. - The Zero-to-One Builder: You thrive in ambiguity, love writing code, and have a proven track record of shipping production-grade B2B SaaS or deep-tech enterprise software. - Regulated Industry Context: Experience building software for fintech, healthtech, defense, or compliance-heavy environments is a massive plus. - Founder Mentality: You possess an ownership mindset, deep resilience, and the communication skills required to articulate highly technical concepts to investors and enterprise buyers alike. ## What's In It For You - Significant Equity: An equity package commensurate with your experience and commitment. - Co-Founder Status: Equal seat at the table to shape company vision, culture, and strategic direction. - Massive Market Scope: The opportunity to build a category-defining company at the intersection of Generative AI, national sovereignty, and enterprise compliance. ## About Federis Federis is building the next generation of critical infrastructure: a Sovereign AI Control Plane engineered specifically for highly regulated industries, including banking, finance, healthcare, and government frameworks. While the world races to deploy commercial LLMs, enterprise and state actors face massive hurdles regarding data sovereignty, strict compliance, security, and air-gapped execution. Federis solves this by providing an enterprise-grade control plane that orchestrates, audits, and secures decentralized AI workloads, ensuring total compliance and data ownership. We are a lean, high-velocity venture-backed studio project looking for a visionary Technical Co-Founder / CTO to own the architecture, build the engineering team, and co-lead the company from zero to scale.
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