The Job

Senior Lead Engineer – AI Platform Architecture & Engineering

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Data Science

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In short

Qualcomm is seeking a Senior Lead Engineer to design, deploy, and scale Generative AI solutions. This role involves leading AI platform architecture, developing AI/ML solutions using LLMs and Agents, and establishing MLOps best practices. The ideal candidate will have strong technical leadership and experience in production AI systems.

Responsibilities

  • 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.
  • Develop end-to-end AI systems utilizing LLMs, RAG, AI Agents, Machine Learning and Deep Learning frameworks, NLP, Conversational AI, Computer Vision, Recommendation Systems, and Predictive Analytics.
  • Establish and maintain MLOps best practices, including CI/CD pipelines, model versioning, experiment tracking, automated retraining, model monitoring, drift detection, performance benchmarking, and governance.
  • Ensure reliable deployment, operational monitoring, and lifecycle management of AI solutions.
  • 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.
  • 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.
  • 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.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • 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.
  • 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.
  • Strong proficiency in Python and C/C++.
  • Experience with PyTorch, TensorFlow, Keras, Hugging Face, ONNX, Scikit-learn.
  • Demonstrated expertise in LLM architectures, Prompt Engineering, Context Engineering, RAG systems, Fine-tuning methodologies, Agentic AI frameworks, Function Calling, Tool Use, and Multi-agent orchestration.
  • Experience with Kubernetes, Docker, Distributed computing, GPU acceleration, High-performance AI inference, AI serving frameworks.
  • Hands-on experience with MLFlow, Kubeflow, Airflow, Vertex AI, SageMaker, Azure Machine Learning, CI/CD automation, Model monitoring platforms.
  • Experience deploying solutions on Microsoft Azure, AWS, Google Cloud Platform.

Desired Qualifications

  • Preferably looking for master's or Ph.D. with focus on deployment and application AI.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Electrical Engineering, or Related technical discipline.

Benefits

  • Qualcomm is an equal opportunity employer.
  • Qualcomm is committed to providing an accessible process for individuals with disabilities.
  • Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#AI#Machine Learning#Generative AI#LLM#Platform Architecture#Engineering#Software Engineering#DevOps#Cloud
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Company

Qualcomm

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Hyderabad, India

Qualification

Bachelor, Master, Doctoral

Applicants

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