Staff Engineer GenAI Platforms & Agentic SDLC

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

Role Overview

We are seeking a highly experienced

Staff Engineer

to drive the design, development, and scaling of GenAI-powered platforms, agentic workflows, and AI-native SDLC capabilities across CPSE. This role will be central to transforming GenAI from pilot initiatives into production-grade, enterprise-scale capabilities, enabling engineering teams to accelerate development, improve quality, and operationalize AI-driven workflows.

Minimum Qualifications

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Key Responsibilities

Platform, Skills & Integration Development - Design and build GenAI platform capabilities, including reusable AI skills and agents MCP servers and orchestration frameworks Tooling and integrations for internal platforms and enterprise data sources Ensure seamless integration with development, testing, and operational systems.

Reusable Assets & Enterprise Adoption - Develop and curate reusable prompts, skills, and workflows to accelerate adoption across engineering teams. Establish validation frameworks to ensure quality, accuracy, and robustness of AI-driven assets. Drive standardization and reuse across teams and business units

Enterprise AI Workflow Operationalization & Agentification - Lead the operationalization of QGenie-based workflows across CPSE use cases. Transform and agentify existing engineering workflows into scalable, reusable AI-driven solutions. Identify and prioritize high-impact workflows for automation and AI enablement across teams

Agentic SDLC Transformation - Define and implement agent-driven SDLC workflows spanning: Coding and code generation Code review and validation Test automation and coverage Release and deployment orchestration Debugging and root-cause analysis Production monitoring and operations Enable end-to-end automation and intelligent orchestration across the SDLC lifecycle.

Governance, Observability & Traceability - Establish frameworks for: AI governance and compliance Observability of GenAI systems Traceability of decisions and outputs Ensure enterprise readiness with security, auditability, and reliability in production environments.

Cross-Org Collaboration & Scale-Out - Partner with QGenie teams, Business Units (BUs), and GEO organizations to: Drive adoption across regions Align on platform capabilities and priorities Enable scaling from pilots to enterprise-wide deployment Act as a technical leader and evangelist for AI-native engineering transformation.

Required

Bachelors or Masters degree in Computer Science, Engineering, or a related field.

812 years of experience in software engineering or platform development.

Strong hands-on experience in:

Distributed systems, cloud platforms, and APIs

AI/ML systems, LLMs, or GenAI frameworks

Developer tools, CI/CD, and SDLC processes

Proven track record of building scalable platforms or frameworks used across teams.

Preferred

Experience in:

Agentic systems, workflow orchestration, or AI copilots

Prompt engineering, evaluation frameworks, and LLM integrations

Observability platforms and production AI systems

Exposure to enterprise-scale AI adoption programs or platform engineering

Leadership Expectations

Demonstrates technical depth and architectural leadership.

Drives cross-functional initiatives with measurable business impact.

Mentors engineers and shapes organization-wide engineering practices.

Brings a data-driven approach to evaluating AI effectiveness and adoption.

Impact & Scope

Direct impact on scaling GenAI adoption across thousands of engineers.

Enables standardized, reusable, and production-ready AI capabilities.

Plays a critical role in transforming CPSE into an AI-first engineering organization.

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 disability-accomodations@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. (Keep in mind that this email address is used to provide reasonable accommodations for