Company:

Qualcomm India Private Limited:

Job Area:

Information Technology Group, Information Technology Group > Data Science

Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary:

We care deeply about transforming lives with Qualcomm technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences — the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems. Underpinning our mission is the Qualcomm culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

At Qualcomm: Together, we advance.

About the Role:

We are looking for a visionary AI Scientist to lead the transformation of finance and accounting operations through intelligent automation. This role combines deep technical expertise with strong business acumen to simplify processes, reduce manual effort, and accelerate AI adoption across the organization.

You will design and deploy AI systems—including AI agents, and Model Context Protocol (MCP)—that automate complex workflows and empower teams through self-service tools, training and extensive change management.

Key Responsibilities:

Business Process Simplification

• Partner with finance and accounting teams to deeply understand workflows and pain points.
• Translate business needs into technical solutions that simplify and streamline operations.
• Ensure all solutions align with compliance standards and audit requirements.

AI & Automation Development

• Build and deploy AI/ML business solutions (LLMs, agents) and workflows using N8N or similar tools for various finance and accounting tasks such as journal entry automation, reconciliation, forecasting, and anomaly detection.
• Integrate the solution workflow into existing enterprise systems such as Oracle ERP, SAP, Price Management, TM1, and Salesforce
• Develop robust data pipelines in Python to extract, clean, and prepare data from enterprise platforms (Databrics, AWS Redshift, Oracle etc) for AI, and reporting use cases.

Adoption & Enablement

• Drive AI and automation adoption by creating training programs and documentation for finance stakeholders.
• Promote the use of self-service AI and automation tools to empower non-technical users.
• Collaborate with IT and operations to leverage and integrate enterprise AI tools into existing systems and processes.

Data & Reporting

• Build and maintain data pipelines that support real-time and batch AI applications.
• Leverage Tableau, Power BI, and other self-service reporting tools to visualize insights and track automation impact.

Strategic Leadership

• Define KPIs and success metrics for AI initiatives in finance.
• Stay current with advancements in generative AI, agent-based modeling, and enterprise AI governance.
• Present findings and proposals to executive stakeholders and steering committees.

Qualifications:

• Bachelor’s or Master’s degree (MS strongly preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related field.

• 4+ years of experience building and deploying AI/ML models in enterprise environments.

• Proficiency in Python or Rust; experience with frameworks like Py Torch, Tensor Flow, Lang Chain, or similar.

• AI automation and workflow development using N8N or similar tools.

• Deep understanding of LLMs, AI agents, and context-aware orchestration (e.g., MCP).

• Strong business acumen in finance and accounting, with the ability to map technical solutions to operational goals.

• Experience with ERP systems (e.g., Oracle, SAP) and financial data structures.

• Proficiency in Tableau, Power BI, or similar tools for self-service reporting and visualization.

• Excellent communication and stakeholder management skills.

• Bachelor’s or Master’s degree (MS strongly preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related field.

• 4+ years of experience building and deploying AI/ML models in enterprise environments.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.