Principal Engineer, Agentic AI Solutions Lead – Industrial & Embedded IoT, Edge AI On‑Prem Appliance

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA · Santa Clara, CA
Salary
$192,600–$289,000 / yr
Posted
47 days ago
Closes
Oct 19, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $241k
$171k most similar roles pay here $302k

This role pays more than 62% of similar roles. Most pay $184,975–$246,425 — the shaded band above. At the midpoint, this role pays about $241k versus about $216k for comparable roles.

Based on 240 similar postings.

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About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 555 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 398 roles with salary data.

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At a glance

TL;DR · Principal Engineer, Agentic AI Solutions Lead – Industrial & Embedded IoT, Edge AI On‑Prem Appliance

As a Principal Agentic AI Solutions Architect at Qualcomm Technologies’ Industrial and Embedded IoT Business Unit, you will lead the design and development of scalable blueprints for end-to-end Edge AI solutions tailored to various industries. Your responsibilities include architecting agentic workflows using advanced frameworks like LangChain and LlamaIndex, integrating large language models (LLMs) and vision-language models (VLMs), and optimizing these systems across on-premises hardware and cloud environments. You will collaborate closely with cross-functional teams to ensure customer-specific requirements are met while maintaining compliance and security standards. Proficiency in Python/C++, experience with AI accelerators, and a deep understanding of model lifecycles are essential, as is hands-on expertise in deploying AI systems at the edge. This role leverages Qualcomm’s cutting-edge platforms to address complex enterprise challenges across domains such as knowledge management and analytics.

What you'll do

  • Own AI solution blueprints for Agentic AI/GenAI/Hybrid-AI deployments.
  • Architect agentic workflows using Qualcomm platforms and industry frameworks.
  • Customize vertical solutions to meet customer-specific requirements and constraints.
  • Develop hands-on prototypes and reference architectures that scale to production.
  • Integrate LLMs, VLMs, CV/CNN, NLP stacks, and optimize models on accelerators.
  • Design hybrid AI architecture partitioning workloads across edge devices and cloud.

What we're looking for

  • 10+ years experience in AI/ML with deep expertise in NLP and Generative AI.
  • Proven track record architecting systems-level AI solutions combining application, runtime, and platform considerations.
  • Hands-on proficiency with LLM/VLM/CV/NLP model lifecycles including selection, fine-tuning, compression, and deployment.
  • Expertise in designing hybrid AI architectures placing workloads across device/edge/cloud environments.
  • Strong software engineering skills in Python/C++, containerization, profiling tools, and modern inference/runtime stacks.
  • Experience deploying AI systems on edge/embedded/on-prem platforms with model optimization techniques.

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