Cisco

2 months ago

Senior Engineering Manager, AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead a high‑performing AI engineering team focused on code-generation capabilities and developer tooling, defining the technical strategy from research to production. Drive AI/ML system design, deployment, and observability, balancing innovation with reliability to deliver scalable AI-powered experiences across Cisco Splunk platforms.

Location: Seattle, Austin, Houston, Nashville, Bellevue, San Diego, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead and develop a team of engineers and AI practitioners building intelligent code generation systems and related platform capabilities.
•Define and execute the technical roadmap for AI initiatives focused on code generation, agentic workflows, and developer tooling.
•Partner with cross-functional teams across engineering, product, and platform to bring AI innovations into production.
•Drive the design, development, evaluation, deployment, and operation of production-grade AI/ML systems.
•Establish best practices for experimentation, benchmarking, model evaluation, observability, reliability, and continuous improvement.

Pay and Benefits

Perks:401kHealth InsuranceEquityPaid Leave

Key Requirements

•Proven experience leading AI/ML engineering teams and delivering production-grade AI capabilities.
•Deep technical fluency in machine learning systems, large language models, and production AI platforms.
•Experience defining and executing a technical roadmap for AI initiatives including code generation, agentic workflows, and developer tooling.
•Ability to partner with product, platform, and engineering leaders to bring AI innovations into production.
•Experience hiring, mentoring, and growing technical talent while fostering an inclusive engineering culture.

Experience:AIMachine learningSoftware engineering

Skills:LeadershipCommunicationCollaborationMentorshipTeamwork

Languages:English

Tech Stack:PythonTensorFlowPyTorchKubernetesDockerCloudLLMsModel servingDistributed training

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

2 months ago

Senior Engineering Manager, AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Seattle, Austin, Houston, Nashville, Bellevue, San Diego, Washington

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead and develop a team of engineers and AI practitioners building intelligent code generation systems and related platform capabilities.
•Define and execute the technical roadmap for AI initiatives focused on code generation, agentic workflows, and developer tooling.
•Partner with cross-functional teams across engineering, product, and platform to bring AI innovations into production.
•Drive the design, development, evaluation, deployment, and operation of production-grade AI/ML systems.
•Establish best practices for experimentation, benchmarking, model evaluation, observability, reliability, and continuous improvement.

Pay and Benefits

Perks:401kHealth InsuranceEquityPaid Leave

Key Requirements

•Proven experience leading AI/ML engineering teams and delivering production-grade AI capabilities.
•Deep technical fluency in machine learning systems, large language models, and production AI platforms.
•Experience defining and executing a technical roadmap for AI initiatives including code generation, agentic workflows, and developer tooling.
•Ability to partner with product, platform, and engineering leaders to bring AI innovations into production.
•Experience hiring, mentoring, and growing technical talent while fostering an inclusive engineering culture.

Experience:AIMachine learningSoftware engineering

Skills:LeadershipCommunicationCollaborationMentorshipTeamwork

Languages:English

Tech Stack:PythonTensorFlowPyTorchKubernetesDockerCloudLLMsModel servingDistributed training

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor