Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Engineering
General Summary:
We are seeking an experienced and highly motivated Senior Lead Engineer to lead the design, deployment, operationalization, and scaling of Generative AI (GenAI) solutions including orchestrator framework and deployment across enterprise and product environments.
The successful candidate will combine deep software engineering expertise with hands-on experience in building Agents, orchestrators, LLM-based applications, MLOps, cloud-native architectures, and production deployment of AI services. This individual will drive technical strategy, mentor engineering teams, architect scalable AI platforms, and ensure successful delivery of AI-powered solutions from concept through production.
This role requires strong leadership capabilities, exceptional technical depth, and a proven track record of deploying AI systems that deliver measurable business value.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Job Summary
Preferably looking for master's or Ph.D. with focus on deployment and application AI.
Key Responsibilities
AI Platform Architecture & Deployment
Lead design and implementation of scalable AI/ML platforms, building agents, orchestrator frameworks and enterprise AI infrastructure.
Architect and deploy production-grade Generative AI, Machine Learning, and Agentic AI solutions.
Build secure and reliable AI deployment pipelines and operational frameworks.
Design AI services capable of supporting enterprise-scale workloads and high availability.
Drive adoption of cloud-native AI technologies and modern deployment architectures.
AI/ML Solution Development
Develop end-to-end AI systems utilizing:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents and Multi-Agent Systems
Machine Learning and Deep Learning frameworks
NLP and Conversational AI
Computer Vision
Recommendation Systems
Predictive Analytics
Evaluate and select appropriate models, architectures, and deployment strategies.
MLOps & AI Operations
Establish and maintain MLOps best practices.
Implement:
Ensure reliable deployment, operational monitoring, and lifecycle management of AI solutions.
Engineering Leadership
Provide technical leadership across AI initiatives.
Lead architecture reviews and technical design discussions.
Mentor engineers and data scientists.
Establish engineering standards, best practices, and reusable frameworks.
Collaborate with senior leadership on AI strategy and roadmaps.
Product & Cross-Functional Collaboration
Partner with Product Management, Architecture, Security, IT, Data Engineering, and Business stakeholders.
Translate business requirements into scalable technical solutions.
Drive adoption of AI technologies throughout the software development lifecycle.
AI Governance, Security & Compliance
Ensure responsible AI practices and model governance.
Implement security controls for AI systems and deployed models.
Develop standards for privacy, compliance, explainability, and risk management.
Maintain governance frameworks for enterprise AI deployments.
Required Qualifications
Education
Experience (5-7 Years)
5+ years of software engineering experience.
3+ years of hands-on AI/ML engineering experience.
3+ years leading technical teams or major technical programs.
Proven experience deploying AI systems into production environments.
Technical Expertise
Programming
Strong proficiency in:
AI/ML Frameworks
Experience with:
PyTorch
TensorFlow
Keras
Hugging Face
ONNX
Scikit-learn
Generative AI
Demonstrated expertise in:
AI Infrastructure
Experience with:
MLOps
Hands-on experience with:
Cloud Platforms
Experience deploying solutions on:
Microsoft Azure
AWS
Google Cloud Platform
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 [email protected] 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 individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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