> Markdown version of [/jobs/ext/1047553-agentic-ai-engineer-ii-cyber-analytics](https://www.wearedevelopers.com/jobs/ext/1047553-agentic-ai-engineer-ii-cyber-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Engineer II - Cyber Analytics - **Company:** American Express Company - **Location:** Phoenix, AZ, United States - **Salary:** $89,250.0 - $150,250.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Cluster Analysis, Cyber Security, Continuous Integration, Information Engineering, Database Applications, Elasticsearch, Python (Programming Language), Machine Learning, NoSQL, Tensorflow, Prometheus, Shell Script, Software Construction, SQL Databases, Management of Software Versions, Jupyter Notebook, Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Scikit Learn, Kubernetes, Information Technology, Apache Kafka, Apache Nifi, Machine Learning Operations, Virtual Agents, Kibana, Restful APIs, Docker, Jenkins - **Published:** June 23, 2026 - **Apply:** https://dejobs.org/x/x/828141F5D72E4AC69FFB7D9CC222E015/job/ ## About the Role Data Analytics Solutions - Emerging Technologies team is looking for an Engineer - Artificial Intelligence to help design and build impactful, intelligent, and secure AI solutions for Information Security & Governance and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Deep Learning, Generative AI, and AI system development-someone who can translate business needs into scalable, production-ready AI applications and contribute to solutions that drive meaningful outcomes., * Bachelor's degree in computer science, Engineering, Data Science, AI, or a related field. * Hands-on experience developing AI/ML, GenAI, or data-driven applications. * Strong Python programming skills and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, or similar tools. * Working knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI application development. * Exposure to APIs, cloud platforms, Docker, Kubernetes, vector databases, and software engineering best practices. * Ability to understand business needs, solve technical problems, and collaborate effectively across teams., * Exposure to Information Security, Governance, Technology Risk, cybersecurity, or enterprise risk analytics. * Familiarity with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar tools. * Exposure to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi. Hands-on experience or working knowledge of the following tools, frameworks, and technologies: * Data Engineering: SQL, NoSQL, Spark, Kafka, NiFi. * AI/ML Development: Python, TensorFlow, PyTorch, scikit-learn, Jupyter Notebooks, Shell Scripting, and vector databases such as pgVector or Milvus. * MLOps & Orchestration: MLflow, Kubeflow Pipelines, Argo Workflows, ML Run, or Triton Inference Server. * Deployment & Containers: Docker, Kubernetes, RESTful APIs development. * Observability & CI/CD: Elasticsearch, Kibana, Prometheus, Jenkins, XL Release, or similar tools. * Cloud: Exposure to AWS, Azure, or Google Cloud is a plus. * Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. ## Description As an AI Engineer, you will play a key role in designing, developing, and deploying end-to-end AI applications that solve complex business challenges and enable intelligent automation. This role requires strong hands-on experience in Machine Learning, Deep Learning, and Generative AI, along with practical exposure to building AI-driven systems, including agent-based solutions. You will work in a cross-functional environment that values innovation, engineering rigor, secure solution design, and responsible AI development. * Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks. * Translate business, Information Security, Governance, and Technology Risk requirements into scalable AI applications. * Develop, test, and improve models for NLP, classification, clustering, anomaly detection, and predictive analytics. * Support model lifecycle activities including experimentation, evaluation, versioning, deployment, monitoring, and documentation. * Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, Kubernetes, and related tools. * Collaborate with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, and responsible AI solutions. * Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, MLOps, and responsible AI. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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