Careers

Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $192,600–$289,000 / yr
Posted: 90 days ago
Closes: Sep 12, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $241k

$166k most similar roles pay here $302k

This role pays more than 67% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $241k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 750 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 430 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Careers

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As a Senior AI Architect at Qualcomm, you will lead the design and governance of AI solutions across the enterprise, collaborating closely with Enterprise Architecture to define high-level patterns and reference architectures for both cloud and on-prem deployments. Your daily responsibilities include evaluating new AI capabilities, establishing robust governance frameworks, and ensuring compliance and security in AI implementations. You will work extensively with Kubernetes, LLM serving engines, and agentic automation frameworks while guiding the technical product leadership of AI use cases. This role requires a deep understanding of AI inference optimization, enterprise IT ecosystems, and full-stack web architecture, along with experience in defining AI solution architectures and managing cross-functional initiatives. Ideal candidates have a background in software engineering or platform architecture and are proficient in Kubernetes, LLM serving engines, and agentic automation tools like LangGraph and Semantic Kernel.

Skills

Kubernetes LLM serving engines Agentic automation frameworks RPA Enterprise AI Governance MLOps Vector databases Feature stores Observability AI quality monitoring Security Compliance TOGAF GPU scheduling Cloud services APIs Eventing Microservices Identity/authorization Mobile backends Technical Product Manager DevSecOps

What you'll do

Define end-to-end AI solution architectures for cloud and on-prem environments.
Establish reference architectures and reusable templates for enterprise AI platforms.
Lead evaluations of AI capabilities and guide the design of scalable inference topologies.
Stand up a federated AI governance council with clear roles across teams.
Implement model/data registries and change control systems for traceability.
Define SLOs/SLIs for AI services and build cost governance practices.

What we're looking for

10+ years in software/AI/ML engineering or enterprise architecture, including 5+ years in leadership.
Proven experience defining AI solutions architectures for cloud and on-prem environments.
Strong understanding of AI inference optimization techniques and infrastructure.
Demonstrated expertise in Enterprise AI Governance, including policies and compliance.
Hands-on experience with Kubernetes and LLM serving engines like vLLM and KServe/Seldon.
Experience with agentic automation frameworks and RPA tools.
Excellent full-stack web and mobile architecture knowledge.

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