Principal Engineer AI Specialist
Posted Apr 22, 2026
Key Responsibilities:
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Lead the design and deployment of advanced AI-driven systems and models, including GPT-based solutions, reinforcement learning frameworks, and autonomous agentic workflows. - Develop intelligent agents capable of handling complex tasks, decision-making, and automating workflows within F5 products and platforms. - Enable generative AI capabilities, such as personalization, contextual understanding, NLP, and decision systems. - Research and integrate state-of-the-art AI techniques, including transformer models, GANs, and hybrid AI architectures. - Develop and optimize large-scale distributed AI infrastructure, ensuring fault tolerance, resilience, scalability, and performance in global workloads. - Implement advanced observability systems for AI applications, leveraging telemetry pipelines and ensuring data quality validation. - Build frameworks for automated data ingestion, transformation, and validation at scale across distributed systems. - Ensure robust CI/CD pipelines tailored for AI workflows, including validation, automation, and monitoring for model updates and deployments. - Design synthetic data generation tools for model benchmarking, stress testing, and performance analysis of high-volume data sets and queries. - Implement chaos engineering and resilience testing for AI-driven cloud environments. Qualification Required:
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10+ years of hands-on experience in AI research, development, and deployment, including expertise in generative AI, transformer models, and reinforcement learning. - Proficiency in NLP, computer vision, predictive analytics, decision systems, and multi-agent frameworks. - Familiarity with cutting-edge AI techniques such as GANs, hybrid transformers, sequence modeling, and unsupervised learning approaches. - Deep working knowledge of distributed systems architecture, including large-scale data pipelines, data lakes, and storage optimization techniques. - Proficiency in Python, Go, JavaScript, or similar programming languages. - Proven ability to mentor and lead teams of engineers in adopting advanced AI practices. - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 10+ years of relevant experience. - Advanced certification and hands-on expertise in AI/ML and cloud systems. Key Responsibilities: