Q

Qualcomm

Designs mobile chips and licenses wireless patents

BizAI Tech Functional Engineer - Software Engineering

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Diego, CA, USA

About the Job

Requirements

  • A Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of software engineering or related work experience; or a Master's degree in those fields and 3+ years of such experience; or a PhD in those fields and 2+ years of such experience.
  • At least 2 years of work experience with a programming language such as C, C++, Java, or Python.
  • A Bachelor's degree in Engineering, Computer Science, or a related technical field.
  • At least 9 years of experience in software or automation engineering, solutions engineering, or technical-functional roles.
  • Ability to translate business or functional requirements into technical solutions, ideally in Finance or Sales domains.
  • Hands-on experience with agentic AI or AI agent development and natural-language analytics.
  • Strong programming skills in Python and TypeScript; Rust is a plus; experience with full-stack, enterprise-grade application development.
  • Hands-on experience with agentic runtimes and workflow frameworks such as n8n, LangGraph, or Agno.
  • Experience building against API services such as FastAPI and integrating with data platforms such as Databricks, Oracle, and SQL/NoSQL.
  • Proficiency in Docker, Kubernetes, and containerized deployments.
  • Understanding of enterprise systems, authentication mechanisms such as SSO/OIDC, role-based access, and security best practices.

Responsibilities

  • Serve as the technical-functional bridge between business stakeholders in Finance, Sales, and SCM and the AI engineering team by eliciting requirements, shaping use cases, and translating them into deliverable solutions on the BizAI platform.
  • Design and deliver AI-driven agents, natural-language question-and-answer experiences, and agentic automations for enterprise processes such as Manual Journal Entry, Incentive Claims validation, Variance Analysis, and Customer 360.
  • Build and extend workflow automations using n8n on on-premises Kubernetes, integrating with Oracle, Databricks, Salesforce, Microsoft 365 applications including Outlook, Teams, and SharePoint, Jira, and PostgreSQL.
  • Develop and integrate against the FastAPI and micro-frontend SDK to deliver consistent, reusable, enterprise-grade experiences.
  • Configure and tune Databricks Genie/QGenie-powered natural-language querying over governed datasets, validating accuracy and business relevance with stakeholders.
  • Ensure solutions meet enterprise governance, SOX, auditability, SSO/RBAC (OIDC), and data-level security (RLS/N2K) requirements.
  • Define and apply automation and agent standards for scalability, reliability, and compliance across the enterprise.
  • Support adoption through office hours, enablement, and hands-on guidance, helping business teams self-serve while raising the engineering bar.
  • Collaborate on process optimization and process-mining opportunities to prioritize high-value automation and AI use cases.

Desired Qualifications

  • Functional domain knowledge in Finance, Sales, or supply chain processes.
  • Experience with natural-language-to-SQL or Genie-style querying over governed datasets.
  • Background in business process optimization and process mining.
  • Experience integrating and extending RPA platforms such as Automation Anywhere and UiPath into agentic frameworks.
  • Prior experience in a matrixed, global organization with distributed teams.
  • Knowledge of workflow orchestration, event-driven architectures, and microservices/micro-frontends.
  • Exposure to AI platform engineering and MCP (Model Context Protocol) servers.

About the Company

Qualcomm

Designs mobile chips and licenses wireless patents

Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1985

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