AI Engineering Technical Leader

Cisco

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$180,900–$229,000 / yr
Posted
3 days ago
Closes
Jul 31, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $205k
$154k most similar roles pay here $256k

This role pays less than 55% of similar roles. Most pay $163,496–$246,150 — the shaded band above. At the midpoint, this role pays about $205k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 170 open roles on FindRole.

Listed pay typically runs $168,800–$241,400 across 170 roles with salary data.

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At a glance

TL;DR · AI Engineering Technical Leader

As an AI Engineering Technical Leader at Cisco IT’s Enterprise Data & Platforms team, you will lead the deployment and management of Generative AI applications, focusing on Retrieval Augmented Generation (RAG) and Agentic AI capabilities. Your day-to-day responsibilities include designing scalable frameworks for both on-premise and cloud environments, architecting secure document processing workflows, and implementing robust data security protocols to ensure compliance with regulatory standards. You will collaborate closely with legal and governance teams to integrate responsible AI practices and maintain alignment with evolving privacy and security frameworks. This role requires expertise in Python programming, proficiency in Gen AI frameworks like LangChain and LlamaIndex, and hands-on experience with vector databases such as Weaviate or Pinecone.

What you'll do

  • Design and develop high-performance, scalable Generative AI frameworks for on-premise and cloud environments.
  • Architect secure workflows for end-to-end document processing in compliance with regulatory standards.
  • Implement robust data security protocols to ensure encryption and access control across AI solutions.
  • Integrate responsible AI practices including toxicity screening and ethical auditing for model deployment.
  • Monitor AI infrastructure with real-time alerting systems to maintain system stability and performance.

What we're looking for

  • Bachelor's degree in a relevant STEM field.
  • 3+ years of hands-on experience in Generative AI engineering for production use cases.
  • Proficiency in software engineering best practices and DevOps tools.
  • Expertise in Python programming and Gen AI frameworks like LangChain, LlamaIndex.
  • Experience with vector databases such as Weaviate or Pinecone.
  • Strong knowledge of responsible AI practices including toxicity screening and compliance.

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