Lead AI/ML Engineer – Security AI & LLMs

Sonicwall; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

SonicWall is seeking a lead AI/ML Engineer to design, build, and scale the intelligence layer for next-generation security products. You will transform complex datasets—configurations, alerts, and raw logs—into production-grade AI capabilities that automate analysis, reasoning, and recommendations.

You will architect robust AI systems, train and tune models, ensure safety alignment, and establish scalable MLOps. A builder mindset and strong collaboration in a small team are essential for success.

Qualifications

• 6+ years deploying ML models in production, with 1+ years on LLMs and generative AI
• Proficient in Python and ML frameworks (PyTorch/TensorFlow)
• Experience with cloud ML platforms and vector databases

Responsibilities

• Design and deploy RAG pipelines and LLM apps for security telemetry and unstructured logs
• Train, fine-tune, and evaluate ML/DL models for anomaly detection and classification
• Implement guardrails, evaluation frameworks, and safety alignment for deterministic outputs
• Develop scalable MLOps pipelines with data preprocessing and model monitoring

Skills

ML production

LLMs & Gen AI

Python

Team collaboration

Security domain knowledge

Tools

Docker

Kubernetes

AWS SageMaker

Azure ML

GCP Vertex AI

LangChain

LlamaIndex

Hugging Face

Pinecone

Qdrant

Milvus

Job description

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.

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.