Director of AI Engineering – Generative AI & Autonomous Systems (10033) Seattle, WA at Extreme Networks

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, TechnologyIndustries

Requirements

A degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience)
Proven leadership track record: 12+ years in AI/ML engineering, including 5+ years in senior leadership roles managing teams and large-scale initiatives
End-to-end product launch expertise: Demonstrated success leading AI initiatives from concept through production deployment and adoption at enterprise scale
Strategic leadership: Ability to define AI roadmaps, prioritize investments, and align execution with business outcomes
Team builder & mentor: Experience scaling teams, developing leaders, and creating a culture of technical excellence
Technical credibility: Strong foundation in ML/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems; able to guide architecture and evaluate tradeoffs
Enterprise-scale delivery: Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP)
Influence & communication: 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
Nice to Have: Domain knowledge in networking, SD-WAN, or observability
Nice to Have: Recognized contributions to the AI ecosystem (open-source projects, publications)

Responsibilities

Define the AI engineering vision and long-term roadmap; ensure alignment with business strategy and customer outcomes
Build, inspire, and scale a world-class AI engineering team, cultivating a culture of innovation, collaboration, and execution
Mentor senior engineers and emerging leaders, raising the technical and leadership bar across the organization
Champion responsible AI practices and set quality standards for reliability, ethics, and compliance
Drive the full lifecycle of AI systems: from research exploration and prototyping through enterprise-scale production launches
Ensure seamless integration of AI into core products, balancing cutting-edge innovation with pragmatic delivery
Establish and enforce best practices for deployment, monitoring, and lifecycle management of AI systems in production
Measure impact and ensure that AI solutions deliver tangible business value
Provide architectural direction for scalable AI systems leveraging LLMs, multi-agent systems, and generative models
Guide technical decisions, ensuring systems are reliable, secure, and cloud-native
Evaluate emerging technologies and frameworks; make informed adoption decisions that strengthen competitive differentiation
Maintain enough hands-on involvement to earn respect from engineers, while staying focused on strategic leadership
Partner with product management, engineering, and network experts to define and deliver AI-driven features
Communicate strategy, progress, and impact to executives, customers, and partners with clarity and influence
Represent the company externally as a thought leader in AI, contributing to industry forums, open-source communities, and customer engagements

Skills

Key technologies and capabilities for this role

Generative AILLMsMulti-Agent SystemsGenerative ModelsCloud-NativeAI DeploymentAI MonitoringScalable AI SystemsAI ProductionizationAutonomous Systems

Questions & Answers

Common questions about this position

What experience level is required for this Director of AI Engineering role?

The role requires 12+ years in AI/ML engineering, including 5+ years in senior leadership roles managing teams and large-scale initiatives, plus a degree in Computer Science, Artificial Intelligence, or equivalent practical experience.

Where is this position located?

The position is located in Seattle, WA.

What are the key responsibilities of this role?

Key responsibilities include defining the AI engineering vision and roadmap, building and mentoring a world-class AI team, driving end-to-end productization of AI systems, providing technical leadership on scalable AI architectures, and partnering cross-functionally.

What kind of team culture does the company aim to cultivate?

The role involves building and inspiring a world-class AI engineering team, cultivating a culture of innovation, collaboration, and execution.

What makes a strong candidate for this position?

A strong candidate has a proven leadership track record with 12+ years in AI/ML engineering including 5+ years in senior roles, end-to-end expertise in launching AI products from concept to production, and the ability to combine technical depth with organizational vision.

Extreme Networks

Provides advanced networking solutions and services

About Extreme Networks

Extreme Networks specializes in advanced networking solutions that optimize and secure network operations for a variety of clients, including educational institutions, retail businesses, government agencies, and healthcare facilities. Their products include network infrastructure such as switching and routing solutions, wireless connectivity, and data center fabrics, along with cloud-based services and advanced security measures. Extreme Networks differentiates itself by offering both hardware and software solutions, as well as professional and managed services that ensure efficient network operations. Their goal is to provide comprehensive support and training to help clients maximize their networking capabilities.

Morrisville, North CarolinaHeadquarters

1996Year Founded

$16.8MTotal Funding

IPOCompany Stage

Government & Public Sector, Enterprise Software, Cybersecurity, EducationIndustries

1,001-5,000Employees

Benefits

Competitive pay

Comprehensive healthcare

HSA

Life & disability insurance

Retirement plans

Employee stock purchase program

Tuition reimbursement

PTO

Wellness programs

Risks

Securities fraud lawsuit may damage Extreme Networks' reputation and investor confidence.

Complexity of AI integration could hinder adoption of Extreme Platform ONE.

Stiff competition in cybersecurity market may affect ZTNA solution's market share.

Differentiation

Extreme Networks offers AI-powered platformization with Extreme Platform ONE.

The company provides comprehensive networking solutions, including cloud and security integration.

Extreme Networks serves diverse industries, from education to healthcare and government.

Upsides

Growing demand for AI-driven network management boosts Extreme Networks' market potential.

Expansion of 5G networks increases need for advanced networking solutions.

Rising adoption of cloud-based solutions enhances Extreme Networks' scalability and flexibility.

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