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CreatorIQ, the operating system for creator-led growth trusted by 1,300+ global brands and agencies, is seeking a Director of Engineering for Agentic AI and Architecture. This is a hands-on individual contributor role reporting to the CTO, responsible for shaping CreatorIQ's agentic AI architecture and advancing the broader technical architecture of the platform.
In this role, you will define and evolve CreatorIQ's architecture strategy across Agentic AI and the broader SaaS platform, aligning technical direction with product and business priorities. You'll design architectural approaches for agentic systems, including agent orchestration, multi-agent patterns, retrieval-augmented generation, evaluation frameworks, observability, guardrails, and production deployment. You will create reference implementations that serve as general patterns for standardized implementation across the organization, with infrastructure and observability baked in.
You'll establish reusable patterns and technical foundations enabling teams to safely and efficiently build AI-powered and agentic product capabilities. You'll lead modernization and platform-unification efforts that reduce architectural complexity, improve scalability and resilience, and create a more coherent technical foundation. Working closely with the CTO, Product, Engineering, DevOps, Security, and other technical leaders, you'll translate business priorities into durable architecture and execution plans.
You'll develop standards for testing, evaluating, monitoring, and governing AI and agentic systems to ensure new capabilities are reliable, measurable, secure, and aligned with CreatorIQ's responsible AI practices. You'll influence engineering teams through architecture reviews, prototypes, technical guidance, and hands-on problem-solving, helping teams adopt shared patterns while preserving appropriate autonomy. You'll also identify opportunities where agentic AI and broader architectural improvements can meaningfully enhance CreatorIQ's products, engineering workflows, and platform capabilities.
The role is remote, full-time, with approximately 10-20% travel to engineering hubs or customer locations.
REQUIREMENTS:
- Demonstrated success designing and evolving complex, scalable SaaS platforms and distributed systems
- Deep expertise in software and systems architecture, with ability to move between strategic architecture decisions and hands-on technical execution
- Experience designing or delivering production AI systems, with strong understanding of agent architecture, orchestration, retrieval patterns, evaluation, observability, guardrails, and operational reliability
- Proven ability to lead major modernization, migration, refactoring, or platform-unification initiatives across complex technical environments
- Strong knowledge of cloud-native, event-driven, and service-oriented architectural patterns, with sound judgment around standardization vs. flexibility
- Ability to evaluate emerging AI approaches and technologies critically, separating production-ready capabilities from premature experimentation
- Experience influencing senior engineers, architects, and cross-functional partners without formal people-management authority
- Strong judgment around security, reliability, governance, data considerations, and responsible use in AI-enabled systems
- Excellent communication skills to explain complex architectural and AI concepts to technical teams, executives, and non-technical stakeholders
- Hands-on, experimentation-oriented approach paired with discipline to turn technical exploration into scalable, maintainable production systems
