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Engineering Manager, Machine Learning / ML,Gen AI, LLM, Lead ML teams AI Assistants and AI Agents / 11+ years | Bangalore

Cisco - Bangalore, India

Posted May 12, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
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Verification
Not verified checked Jun 13, 2026
Salary
Not verified
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not required From the posting source checked Jun 20, 2026
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Engineering Manager, Machine Learning / ML,Gen AI, LLM, Lead ML teams AI Assistants and AI Agents / 11+ years | Bangalore Bangalore, India Meet the Team Join us at Cisco to shape the future of enterprise AI. We are building an AI Platform Team focused on creating the next-generation foundation that powers intelligent, secure, and scalable AI solutions across Cisco's ecosystem. This team is at the forefront of bridging research innovation with real-world application, addressing some of the most fundamental challenges in AI from advancing large language model capabilities and building Agentic frameworks to optimizing data pipelines and ensuring trustworthy AI deployment at scale. As part of this pioneering effort, you'll collaborate with leading AI researchers, data scientists, and engineers to design, develop, and operationalize AI systems that drive measurable business impact for millions of users worldwide. If you're passionate about solving hard technical problems and shaping how AI transforms enterprise security and networking, this is where you'll make it happen. Your Impact As an Engineering Manager, you bring a visionary technical approach and a strong track record of building and leading high-performing ML/AI engineering teams. You will guide the design, architecture, and delivery of scalable machine learning systems while fostering an engineering culture focused on innovation, technical excellence, and measurable outcomes. You will: Lead, mentor, and grow a world-class engineering team focused on LLM-driven and agentic AI solutions. Drive end-to-end technical strategy across model development, optimization, evaluation, deployment, and monitoring. Partner with research and product teams to translate advanced

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Apply link verified; last checked Aug 3, 2026.

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