SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter, LinkedIn, Facebook and Instagram.
Role Overview
We are seeking a Distinguished Engineer - AI Architect to pioneer the intelligence layer of our next-generation security platform. In this role, you will be the ultimate technical authority on our AI strategy, defining how we use machine learning and large language models to reason over complex security telemetry, unstructured logs, and customer network configurations.
As part of a lean Data & AI team, you will design the overarching AI runtime architecture, implement state-of-the-art reasoning frameworks, and establish the strict guardrails required to deliver safe, highly accurate, and deterministic AI capabilities within a mission-critical cybersecurity environment.
Key Responsibilities
- Define the AI System Architecture: Architect the blueprint for our AI runtime, including agentic workflows, complex Retrieval-Augmented Generation (RAG) systems, and multi-modal reasoning engines optimized for complex technical data.
- Lead Modeling & Fine-Tuning Strategy: Set the technical direction for model selection, domain-specific fine-tuning (SLMs/LLMs), and embedding strategies tailored to interpret network behaviors, security schemas, and configuration states.
- Establish AI Trust, Alignment, & Safety: Design and implement pioneering evaluation frameworks and runtime guardrails. You will solve the critical challenge of making AI outputs safe, deterministic, and audit-ready for security operations.
- Co-Architect the AI Data Fabric: Partner closely with our Distinguished Data Engineer to design high-performance feature stores, semantic indexes, and low-latency vector retrieval layers that support real-time inference at scale.
- Drive R&D into Production: Keep the company at the cutting edge by evaluating and commercializing emerging AI paradigms (e.g., small specialized models, advanced reasoning LLMs, context-window optimization), translating research into production-ready software.
Required Experience & Skills
- Experience: 12+ years of software and systems engineering experience, with 5+ years dedicated to leading and deploying complex machine learning, NLP, or deep learning systems into enterprise production environments.
- Generative AI & LLM Mastery: Proven track record of architecting production-grade generative AI systems. Deep, authoritative expertise in model training, alignment (RLHF/DPO), prompt compilation, and orchestration frameworks.
- Engineering & MLOps Infrastructure: Deep understanding of distributed training and inference infrastructure, model optimization techniques (quantization, pruning, caching), and cloud ML infrastructure (AWS Vertex/SageMaker, Kubernetes, or custom GPU compute stacks).
- Cybersecurity DNA: A strong understanding of security concepts, log formats, or threat intelligence is highly desirable; you must possess the ability to rapidly master domain-specific security contexts.
- Mindset: You thrive on the autonomy of a lean team, love writing foundational code, and have the pragmatic engineering discipline to deliver high-business-value AI capabilities safely and quickly.
#LI-DS9
#LI-Pune
#LI-Hybrid
#LI-AI/ML
#LI-AIArchitect
#LI-RAG
#LI-ML
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.
Applicant Privacy Notice
Skills Required
- 12+ years of software and systems engineering experience, with 5+ years leading and deploying machine learning, NLP, or deep learning systems into enterprise production
- Proven track record architecting production-grade generative AI and LLM systems (model training, alignment such as RLHF/DPO, prompt compilation, orchestration)
- Deep understanding of distributed training and inference infrastructure and model optimization techniques (quantization, pruning, caching)
- Experience with cloud ML infrastructure and orchestration (AWS SageMaker, Vertex AI, Kubernetes, GPU compute stacks)
- Design and implement AI trust, alignment, and safety evaluation frameworks and runtime guardrails for mission-critical systems
- Co-design high-performance feature stores, semantic indexes, and low-latency vector retrieval layers for real-time inference
- Strong cybersecurity domain understanding (logs, threat intelligence, network configurations) or ability to rapidly master security contexts
- Pragmatic engineering mindset; ability to deliver production-ready AI capabilities within a lean team
SonicWall Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SonicWall and has not been reviewed or approved by SonicWall.
-
Healthcare Strength — Health, dental, vision, mental-health support, and wellness programs are part of the package. Feedback suggests coverage breadth is a dependable component of total rewards.
-
Leave & Time Off Breadth — Generous PTO, paid holidays and sick time, and bereavement leave are described alongside flexible or remote options. Feedback suggests ample time away meaningfully supports balance.
-
Retirement Support — A 401(k) and core financial protections such as life and disability insurance are included. Feedback suggests these fundamentals meet standard expectations for many.
SonicWall Insights
What We Do
SonicWall has been fighting the cyber-criminal industry for over 25 years defending small, medium-size businesses and enterprises worldwide. Backed by research from the Global Response Intelligent Defense (GRID) Threat Network, our award-winning real-time breach detection and prevention solutions, coupled with the formidable resources of over 10,000 loyal channel partners around the globe, are the backbone securing more than a million business and mobile networks and their emails, applications and data. This combination of products and partners has enabled a real-time cyber defense solution tuned to the specific needs of the more than 500,000 global businesses in more than 215 countries and territories.
