Lead AI/ML Engineer – Security AI & LLMs
The full posting
For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities.
For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram .
Role Overview
As our lead AI/ML Engineer , you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets - including configurations, security alerts, and raw network logs - into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations.
Key Responsibilities
- Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs.
- Model Development & Tuning : Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets.
- Ensure AI Trust & Alignment : Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate.
- Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborating closely with Data and Product Engineers to ensure low-latency, secure inferences.
Required Experience & Skills
- Experience: 6+ years of professional experience deploying machine learning models into production, with 1+ years focused on LLMs and generative AI . Experience in the cybersecurity domain is highly valued.
- AI/NLP Stack: Deep expertise in Python, PyTorch/TensorFlow, and frameworks like LangChain, LlamaIndex, or Hugging Face .
- Data & Vector Systems : Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Milvus) and semantic search strategies over complex, technical datasets.
- Production Engineering: Solid understanding of API design, containerization (Docker/Kubernetes), and cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
- Mindset: A builder's mentality - comfortable setting technical direction, navigating ambiguity, and executing fast in a small team.
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SonicWall is an equal opportunity employer.
We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries.
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Text as SonicWall published it; last compared with the original on 11 Nov 2026.
The application
Your details and CV, then 11 questions.
- 1.Overall years of professional experience?Short answer
- 2.Have you personally designed and deployed a production-grade LLM application (e.g., RAG, AI Agent, or GenAI application)?Short answer
- 3.Have you implemented a production Retrieval-Augmented Generation (RAG) pipeline using a vector database?Short answer
- 4.Have you worked with cybersecurity data such as SIEM logs, security alerts, network telemetry, EDR, IDS/IPS, or threat intelligence?Short answer
- 5.Do you have experience deploying ML/LLM workloads using Docker and Kubernetes?Short answer
- 6.Which AI/LLM frameworks have you used extensively in production? (Select all that apply)Pick any (10 options)
- 7.Which cloud platforms have you used for AI/ML deployments?Pick any: AWS SageMaker · Azure ML · Google Vertex AI · None
- 8.What is your current compensation?Short answer
- 9.What would be your expected compensation?Short answer
- 10.How soon you can join us if shortlisted?Short answer
- 11.This role is based in Pune, Maharashtra. Would you be comfortable relocating to Pune to pursue this opportunity?Short answer
Taken from SonicWall's application form as it stood on 11 Nov 2026.
The employer: SonicWall
SonicWall makes firewalls, secure access and email security products for smaller organizations; its India engineering centers are hiring for zero trust and network security.
Pay and benefits: Pune and Mumbai staff positions.
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