AVP, GenAI Enterprise Architect
Job Description
Role Overview: Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by
selecting appropriate models, building data pipelines, and integrating them with cloud platforms
(AWS, Azure, GCP). Lead technical strategies, ensure scalability, manage AI security/
hallucinations, and bridge business needs with engineering teams.
selecting appropriate models, building data pipelines, and integrating them with cloud platforms
(AWS, Azure, GCP). Lead technical strategies, ensure scalability, manage AI security/
hallucinations, and bridge business needs with engineering teams.
More Info
About Company
Skills:
ESG frameworks, AI tools, Credit Risk Management, Corporate banking solutions
Skills:
prophet , Machine Learning, Tableau, Tensorflow, Pytorch, Generative Adversarial Networks, AWS, Predictive Analytics, Power Bi, Gcp, Arima, Keras, Google Data Studio, Google AI, scikit-learn, transformer models, Exponential Smoothing, GPT models, time series forecasting, GANs, Generative AI, Ai, SageMaker, Azure AI, project management
Skills:
certificate management , Databases, Application Security, DevSecOps, Gcp, Terraform, Cyberark, Kubernetes, AWS, Conjur, Akeyless, HashiCorp Vault, OpenBao, cloud-native secrets management, machine identities, Zero Trust security principles, workload authentication, cloud-native architectures, Infrastructure-as-Code