Primary Responsibilities :

- Design, develop, and deploy services powered by the latest AI models to enable agent-driven workflows for F5 products, ensuring scalability and ease of use.

- Build intelligent agents and design workflows utilizing GPT models for automation and advanced capabilities in F5 systems.

- Maintain, optimize, and support F5s internal AI systems, including GPT-based implementations, ensuring high availability and scalable performance.

- Collaborate with product teams, IT departments, and vendors to integrate AI-driven agents and workflows across diverse system environments.

- Develop observability tools, monitoring systems, and automation frameworks to enhance AI model reliability.

- Coordinate with platform teams to improve CI/CD environments with AI-focused automation and ensure best practices.

- Continuously explore emerging AI technologies and frameworks to integrate innovative solutions into F5 products.

- Ensure compliance with architecture standards and security policies while addressing audit inquiries.

- Define development lifecycle processes and workflows to streamline AI-driven application creation.

- Provide technical leadership and establish guidelines for integrating AI technologies and agentic workflows.

Skills And Requirements :

AI Expertise :

- Experience with deploying and optimizing AI tools such as GPT models and integrating agentic workflows.

- Familiarity with GPT architectures (GPT-4.x, related APIs) and reinforcement learning for intelligent systems.

- Knowledge of AI libraries and frameworks (TensorFlow, PyTorch, Keras, Hugging Face Transformers, etc.)

Development & Automation :

- Proficiency in programming languages like Python, JavaScript, Go, or Shell scripting.

- Hands-on experience with containerized architectures (Kubernetes, Docker) and cloud platforms (Azure, AWS, or GCP).

- Expertise in CI/CD pipelines and infrastructure automation with tools like Terraform, Ansible, and Helm.

Data & Integration :

- Familiarity with relational and non-relational databases (PostgreSQL, MS SQL, MongoDB) and API integrations (RESTful APIs).

Security & Governance :

- Understanding of ethical AI principles and security best practices for AI model deployment.

- Experience with organizational governance policies and compliance standards.

Observability & Scaling :

- Experience with monitoring and observability tools like Prometheus, Grafana, or Datadog.

- Knowledge of distributed computing frameworks for scaling AI workflows (such as Apache Spark, Airflow, or Dask).

Soft Skills :

- Strong communication skills to interact effectively with technical and non-technical teams.

- Self-motivated with analytical problem-solving capabilities and a collaborative mindset.

Preferred Qualifications :

- Bachelors degree in Computer Science, AI, Machine Learning, or a related field with 5+ years of relevant experience; or advanced degree with AI expertise.

- Familiarity with AI-powered conversational systems (RASA, Dialogflow, LangChain) and agent-building workflows.

- Proficiency in Kubernetes and OpenShift for container orchestration.

- Knowledge of CI/CD tools (GitLab, Jenkins) and MLOps practices for optimizing AI model lifecycle