Staff Engineer, GenAI Platforms & Agentic SDLC

Qualcomm Technologies, Inc

Hyderabad City Taluka

On-site

PKR 11,703,000 - 17,554,000

Full time

14 days+

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Job summary

Qualcomm India Private Limited seeks a Staff Engineer to drive GenAI platform design, development, and scaling across CPSE. You will lead agentic workflows, SDLC transformation, and governance for enterprise AI adoption.

The role emphasizes building AI-native capabilities, orchestration frameworks, and reusable assets while collaborating with global teams to scale production-grade solutions. Strong technical depth and leadership are required.

Qualifications

Bachelor’s or Master’s degree in CS, Engineering, or related field.
8–12 years of software engineering or platform development experience.
Experience with distributed systems, cloud platforms, and APIs.
Experience with AI/ML systems, GenAI frameworks, CI/CD, and SDLC processes.
Proven track record of building scalable platforms used across teams.

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.