Enterprise BizAI Engineer - AI-Driven Finance & Automation

Qualcomm

San Diego (CA)

On-site

USD 135,000 - 202,000

Full time

14 days+
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Job summary

Qualcomm Incorporated is seeking a skilled BizAI Tech Functional Engineer to join the Enterprise AI Engineering team in San Diego, CA. You will translate Finance and SG&A needs into intelligent, governed enterprise solutions on the BizAI platform, collaborating with business stakeholders to drive scalable automation and AI-driven workflows.

The role requires full-time onsite work in San Diego, with strong programming and full-stack capabilities, including Python and TypeScript, and experience

Qualifications

  • Bachelor's, Master's, or PhD in Engineering, Information Systems, Computer Science or related field with progressive software engineering experience.
  • 2+ years with programming languages such as C, C++, Java, Python, etc.
  • 9+ years in software/automation engineering, solutions engineering, or technical-functional roles.

Responsibilities

  • Serve as the bridge between business stakeholders (Finance, Sales, SCM) and AI engineering to elicit requirements and translate them into BizAI platform solutions.
  • Design and deliver AI-driven agents, NLQ experiences, and automations for enterprise processes (e.g., Manual Journal Entry, Incentive Claims validation, Variance Analysis, Customer 360).
  • Build/work with workflow automations using n8n on-prem Kubernetes and integrate with Oracle, Databricks, Salesforce, M365, Jira, PostgreSQL.
  • Develop against FastAPI and micro-frontend SDKs and ensure enterprise-grade, reusable experiences.
  • Ensure governance, SOX, auditability, SSO/RBAC, and data-security requirements are met.

Job description

Qualcomm Incorporated is seeking a skilled BizAI Tech Functional Engineer to join the Enterprise AI Engineering team in San Diego, CA. You will translate Finance and SG&A needs into intelligent, governed enterprise solutions on the BizAI platform, collaborating with business stakeholders to drive scalable automation and AI-driven workflows.

The role requires full-time onsite work in San Diego, with strong programming and full-stack capabilities, including Python and TypeScript, and experience

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