BizAI Tech Functional Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$141,300–$211,900 / yr
Posted
41 days ago
Freshness
Confirmed live yesterday
Closes
Mar 16, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $177k
$131k $235k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $177,175–$223,750 — the blue band above. At the midpoint, this role pays about $177k versus about $200k 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 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · BizAI Tech Functional Engineer

The BizAI Tech Functional Engineer joins the Enterprise AI Engineering organization to serve as a technical-functional bridge between business stakeholders in Finance, Sales, and Supply Chain and the engineering team. You will translate business process pain points into production-grade agentic applications, natural-language analytics, and automated workflows on the BizAI platform. Daily responsibilities include designing AI-driven agents, configuring Databricks Genie for natural-language querying, and building workflow automations. You will utilize Python, TypeScript, C, C++, Java, and Rust while working with n8n, LangGraph, FastAPI, Docker, and Kubernetes. The role involves integrating with Oracle, Salesforce, and M365 to solve enterprise problems like Manual Journal Entry and Variance Analysis while ensuring compliance with SOX, SSO/OIDC, and data-level security requirements within a governed enterprise environment.

What you'll do

  • Translate business requirements from Finance, Sales, and SCM into technical solutions on the BizAI platform.
  • Design and deliver AI-driven agents, natural-language Q&A experiences, and agentic automations for enterprise processes.
  • Build and extend workflow automations using n8n integrated with Oracle, Databricks, Salesforce, and M365.
  • Develop and integrate against FastAPI and micro-frontend SDKs to ensure consistent enterprise-grade experiences.
  • Configure and tune Databricks Genie-powered natural-language querying over governed datasets.
  • Ensure all solutions comply with enterprise governance, SOX, auditability, and data-level security requirements.
  • Define and apply automation and agent standards for scalability and reliability across the enterprise.
  • Support business teams through office hours and hands-on guidance to enable self-service adoption.

What we're looking for

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of software engineering experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of software engineering experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of software engineering experience.
  • 2+ years of work experience with programming languages such as C, C++, Java, or Python.
  • 9+ years of experience in software/automation engineering, solutions engineering, or technical-functional roles.
  • Hands-on experience with agentic AI development, natural-language analytics, and workflow frameworks like n8n, LangGraph, or Agno.
  • Proficiency in Python, TypeScript, Docker, Kubernetes, and building against API services like FastAPI.
  • Functional domain knowledge in Finance, Sales, or Supply Chain processes (preferred).

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