Key Responsibilities
Serve as the technical-functional bridge between business stakeholders (Finance, Sales, SCM) and the AI engineering team — eliciting requirements, shaping use cases, and translating them into deliverable solutions on the BizAI platform.
Design and deliver AI-driven agents, natural-language Q&A 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-prem Kubernetes), integrating with Oracle, Databricks, Salesforce, M365 (Outlook, Teams, SharePoint), Jira, and PostgreSQL.
Develop and integrate against the FastAPI and micro-frontend SDK, ensuring 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 the highest-value automation and AI use cases.
Qualifications
Bachelor's degree in Engineering, Computer Science, or a related technical field.
9+ years of experience in software/automation engineering, solutions engineering, or technical-functional roles.
Demonstrated ability to translate business/functional requirements into technical solutions, ideally in Finance or Sales domains.
Hands-on experience with agentic AI / AI agent development and natural-language analytics.
Strong programming skills in Python and TypeScript (Rust 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 (e.g., FastAPI) and integrating with data platforms (Databricks, Oracle, SQL/NoSQL).
Proficiency in Docker, Kubernetes, and containerized deployments.
Solid understanding of enterprise systems, authentication mechanisms (SSO/OIDC), role-based access, and security best practices.
Preferred Qualifications
Functional domain knowledge in Finance, Sales, Supply chain processes.
Experience with natural-language-to-SQL / Genie-style querying over governed datasets.
Background in business process optimization and process mining.
Experience integrating and extending RPA platforms (e.g., Automation Anywhere, 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.
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Pay range and Other Compensation & Benefits
$141,300.00 - $211,900.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
