Director of AI Engineering (Generative AI & Autonomous Systems)

TL;DR

Director of AI Engineering (Generative AI & Autonomous Systems): Leading the design, development, and delivery of next-generation AI-native systems with an accent on transforming network design, optimization, security, and support. Focus on driving the successful launch of enterprise-grade AI solutions.

Location: Seattle, Washington

Company

hirify.global creates effortless networking experiences that empower people and organizations to advance.

What you will do

• Define the AI engineering vision and long-term roadmap.
• Build, inspire, and scale a world-class AI engineering team.
• Drive the full lifecycle of AI systems from research to production launches.
• Provide architectural direction for scalable AI systems leveraging LLMs, multi-agent systems, and generative models.
• Partner with product management, engineering, and network experts to deliver AI-driven features.
• Communicate strategy, progress, and impact to executives, customers, and partners.

Requirements

• A degree in Computer Science, Artificial Intelligence, or a related field.
• 12+ years in AI/ML engineering, including 5+ years in senior leadership roles.
• Demonstrated success leading AI initiatives from concept through production deployment and adoption at enterprise scale.
• Strong foundation in ML/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems.
• Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP).
• Exceptional ability to engage executives, engineers, and customers with clarity and impact.

Nice to have

• Experience with AI/LLMOps platforms, orchestration frameworks, and lifecycle management.
• Domain knowledge in networking, SD-WAN, or observability.
• Recognized contributions to the AI ecosystem (open-source projects, patents, or industry thought leadership).
• Partnerships with academia, startups, or AI vendors to accelerate innovation.

Culture & Benefits

• Cultivating a culture of innovation, collaboration, and execution.