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
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
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
Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Ollama, XGBoost, Hugging Face), vLLM, LM Studio, GPT4All
Experience with modern GenAI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers).
Familiarity with best practices for responsible AI, including data privacy, bias mitigation, compliance and model monitoring.
Proven experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignment
Deep knowledge of LLM inference optimization techniques, including prompt tuning, caching, quantization, and latency reduction across different model families
Strong programming skills in Python (must) and similar languages, with an emphasis on AI/ML systems development and platform engineering
Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking
Passion for operational excellence, automation, and delivering scalable, developer-friendly AI infrastructure
- Desired Experience: 15+ years in Software/Data Engineering and 3+ years in AI/ML space.
Working Conditions: This position requires working from the office full-time; remote work is not available.
Similar roles you might like
More openings like this one — take a look before you go.
