Sr Principal Software Development Engineer

What You Will Do

• Define and drive the technical vision, roadmap, and strategy for Fortinet's Data Platform’s GenAI components, enabling scalable development and deployment of AI applications powered by LLMs and agentic workflows
• Architecture and implementation of robust scalable data pipelines
• Guide the design and development of platform capabilities such as agent orchestration, RAG integration, LLM model configuration, prompt tooling, and fine-tuning pipelines
• Provide expert advice and guidelines for product development and standardization
• Drive efforts around LLM inference optimization, including caching, prompt tuning, and latency improvements, ensuring efficient and cost-effective model usage across applications
• Collaborate with engineering, product, and operations teams to ensure effective adoption of GenAI capabilities in high-impact workflows
• Partner with stakeholders to build reusable AI agents that enhance productivity, automate reasoning tasks, and integrate securely with internal systems and tools
• Mentor new hires and fellow engineers, fostering growth in technical depth and platform mindset
• Establish best practices and processes that ensure engineering excellence, operational sustainability, and a seamless developer experience
• Develop high quality, secure, scalable enterprise-grade backend components based on technical requirements specifications and design artefacts within expected time and budget
• Follow standard practices to develop and maintain Product development along with AI systems
• Software development with consideration for compliance requirements
• Largely self directed work with improved development techniques, standards and procedure We Are Looking for
• 15+ years exposure in Software development.
• 10+ years in core python development experience along with Data Engineering with data cleaning, enrichment and data mapping.
• 4+ years of experience in AI/ML engineering, GenAI, data science, or related roles.
• 4+ years of experience as a technical lead, guiding teams through complex design decisions and setting high benchmarks for code quality, performance, and scalability