Forward Deployed AI Engineer

Cisco Systems, Inc

San Francisco (CA)

On-site

USD 168,000 - 245,000

Full time

3 days ago
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Job summary

Cisco Systems, Inc. in San Francisco, CA is seeking a Forward Deployed Engineer to collaborate with enterprise customers, design scalable AI solutions, and drive production deployments across complex environments.

You will translate technical requirements into architectures, build integrations and reusable tools, and partner with Product and Engineering teams to improve the platform while delivering observable results for customers.

Qualifications

  • Bachelor’s degree in Computer Science or a related technical field with 6+ years of relevant experience or equivalent practical experience.
  • Software engineering experience building production-grade applications in Python and/or Java.
  • Experience with APIs, distributed systems, cloud platforms, or backend development.
  • Experience with AI tools such as Claude Code, Codex, cursor, etc.
  • Troubleshooting and problem-solving skills across multiple layers of the technology stack.

Responsibilities

  • Partner with enterprise customers to understand technical requirements and business goals.
  • Design scalable AI solution architectures and guide customers through production deployments.
  • Build integrations, prototypes, and reusable tools that accelerate customer success.
  • Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
  • Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
  • Create documentation, reusable best practices, and technical assets that benefit future deployments.

Skills

Python/Java
APIs
Distributed systems
AI tools
Troubleshooting

Education

Bachelor’s degree in CS or related field

Tools

Kubernetes
Cloud platforms

Job description

Cisco Systems, Inc. in San Francisco, CA is seeking a Forward Deployed Engineer to collaborate with enterprise customers, design scalable AI solutions, and drive production deployments across complex environments.

You will translate technical requirements into architectures, build integrations and reusable tools, and partner with Product and Engineering teams to improve the platform while delivering observable results for customers.

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