Senior Staff AI Engineer – AI Optimization & MLOps

What You'll Be Doing:

• Design, fine-tune, and optimize LLMs, retrieval-augmented generation (RAG), and reinforcement learning models for IT automation.
• Improve model accuracy, latency, and efficiency, ensuring optimal performance for IT service workflows.
• Experiment with cutting-edge AI techniques, including multi-agent architectures, prompt tuning, and continual learning.
• Implement MLOps best practices, ensuring scalable, automated, and reliable model deployment.
• Develop AI monitoring, logging, and observability pipelines to track model performance in production.
• Optimize GPU/TPU utilization and cloud-based AI model serving for efficiency and cost-effectiveness.
• Develop tools to measure model drift, inference latency, and operational efficiency.
• Implement automated retraining pipelines to ensure AI models remain effective over time.
• Work closely with cloud teams to optimize AI model execution across hybrid cloud environments.
• Stay ahead of emerging AI technologies, evaluating new frameworks, techniques, and research for real-world application.
• Collaborate to refine AI system architectures and capabilities, while also ensuring models are effectively embedded into IT automation workflows

The Impact You Will Have:

• Enhance the efficiency and reliability of AI-powered IT automation solutions.
• Drive continuous improvement and innovation in AI model development and deployment.
• Ensure scalable and cost-effective AI model serving in cloud and hybrid environments.
• Improve real-time AI processing with minimal downtime and high performance.
• Optimize AI systems for performance, security, and cost in IT automation applications.
• Contribute to the advancement of Synopsys AI capabilities and technologies.

What You'll Need:

• 8+ years of experience in AI/ML engineering, with a focus on model optimization and deployment.
• Strong expertise in AI frameworks (LangGraph, OpenAI, Hugging Face, TensorFlow/PyTorch).
• Experience implementing MLOps pipelines, CI/CD for AI models, and cloud-based AI deployment.
• Deep understanding of AI performance tuning, inference optimization, and cost-efficient deployment.
• Strong programming skills in Python, AI model APIs, and cloud-based AI services.
• Familiarity with IT automation and self-healing systems is a plus.

Who You Are:

• Innovative and forward-thinking, constantly seeking to improve and optimize AI models.
• Collaborative and communicative, working effectively with cross-functional teams.
• Detail-oriented and meticulous, ensuring high standards in AI model performance and deployment.
• Adaptable and resilient, thriving in dynamic and fast-paced environments.
• Passionate about AI and its applications in IT automation and beyond.