AI-First Software Engineering Leader

Cisco Systems, Inc

Northern (KY)

Hybrid

USD 152,000 - 222,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance

401(k) with Cisco matching

Paid parental leave

Job summary

Cisco IT’s Component Operations team seeks a senior engineering leader to drive AI-enabled enterprise applications across our supply chain ERP landscape. You will mentor engineers, shape architecture, and collaborate with Product, Supply Chain, and SMEs to deliver AI-driven solutions.

You will oversee production stability, data integrity, and tooling while guiding multi-country teams and modern AI workflows.

Qualifications

BS or MS in Computer Science, Artificial Intelligence, or equivalent experience.
8+ years of experience in software, DevOps, or systems engineering.
4+ years of experience in engineering leadership across diverse teams and time zones.
Fluency in designing, architecting, and deploying AI enabled enterprise applications.
Proven track record of adopting an AI-first engineering approach and driving team-wide usage of AI-assisted development tools and workflows.
Extensive SaaS, cloud infrastructure, and distributed systems experience.
Proven ability to drive technical strategy and deliver large-scale enterprise engineering and AI initiatives.
Skilled at balancing tactical operational needs with long-term strategic, architectural, and quality objectives.
Experience leading agile teams and managing complex engineering priorities, deadlines, and deliverables.
Strong communication and stakeholder management skills across engineering, product, and executive leadership.
Deep experience developing, scaling, and managing high-performing engineering teams.

Responsibilities

Lead, mentor, and develop software and AI engineers while fostering innovation, collaboration, and technical excellence.
Collaborate with technical leads to guide architectural decisions, improve system performance, manage technical debt, and integrate modern AI capabilities.
Partner with Product, Supply Chain, Business Operations, and SMEs to clarify requirements, align priorities, and drive AI-enabled business solutions.
Monitor and resolve production issues to ensure system stability, model/data integrity, and timely support.
Remove obstacles, manage risks, and ensure teams have the tooling, platform infrastructure, and support needed for delivery.
Conduct 1:1s, performance reviews, and drive team health, engagement, and continuous learning initiatives.
Lead hiring, onboarding, and workforce planning to build high-performing engineering teams skilled in modern AI paradigms.
Collaborate with cross-functional teams, customers, and external AI/technology vendors