# Distinguished Engineer – AI/ML ## Summary - Organization: SonicWall - Location: Pune, Maharashtra, India - Type: Full-Time - Department: N/A - Status: active - Posted: [object Object] - Updated: [object Object] - Closing Date: N/A - External Apply: Yes - External Apply URL: https://job-boards.greenhouse.io/sonicwall/jobs/8069662 ## Details - Salary: N/A - Experience: N/A - Education: N/A - Team: N/A - Reporting To: N/A ## Description 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. ## Responsibilities None ## Skills None ## Tags None ## Organization - Name: SonicWall - Website: https://bit.ly/4mqYSV6 - Industry: Computer and Network Security - Size: 1,001-5,000 employees - Founded Year: N/A - Description: For more than 30 years, SonicWall is a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network, endpoint, cloud, and threat response across hybrid environments. Today, SonicWall delivers a unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network, endpoint, cloud, and threat response across hybrid environments, providing the protection, visibility and operational resilience that modern businesses demand.  Today, SonicWall delivers a unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network, endpoint, cloud, and threat response across hybrid environments, providing the protection, visibility and operational resilience that modern businesses demand.  SonicWall's approach is defined by outcomes, not features. Purpose-built technology, cloud-delivered security services, and real-time threat intelligence work together to prevent breaches, reduce risk, simplify security operations, and keep businesses running in the face of constantly evolving threats. Every product, program, and partnership is measured by a single standard: what it actually delivers for the organizations that depend on it.  At the center of SonicWall's go-to-market model is a global ecosystem of more than 17,000 MSPs, MSSPs, and resellers who bring SonicWall's security capabilities directly to the businesses that need them most. SonicWall partners are not simply resellers — they are the frontline of cybersecurity delivery for SMBs worldwide, and SonicWall is purpose-built to help them compete, grow, and succeed.  In a market crowded with feature announcements and shifting architectures, SonicWall remains focused on what matters: protecting the businesses others overlook, through the partners best positioned to serve them.  *U.S. Patents 7,310,815; 7,600,257; 7,738,380; 7,835,361; 7,991,723