Cloud , Data and AI Solution Architect, Assistant Vice President

Job Title: GCS, Cloud / Data / AI Solution Architect Who we are looking for We are seeking an Assistant Vice President (AVP), Cloud / Data / AI Solution Architect to design scalable, secure, and business-aligned solutions across AWS cloud, data, cybersecurity, and advanced AI domains. This role will shape architectures that leverage GenAI, large language models, retrieval-augmented generation (RAG), agentic workflows, and AI orchestration patterns. The ideal candidate combines hands-on technical depth with strong architecture judgment and the ability to collaborate across engineering, cybersecurity, data, risk, and business stakeholders.   Why This Role is important to us Cybersecurity teams increasingly rely on high-quality data, analytical models, and AI-enabled insights to prioritize risk, detect emerging issues, and respond effectively. This Data Scientist role strengthens the organization's ability to transform cybersecurity telemetry and operational data into predictive, explainable, and actionable intelligence. The role will help improve decision-making across security operations, risk management, vulnerability prioritization, threat detection, and enterprise cybersecurity reporting. What you will be responsible for Key Responsibilities   Design end-to-end solution architectures that integrate AWS cloud services, enterprise data platforms, application services, AI capabilities, cybersecurity controls, and operational workflows.  Translate business, technology, cyber, and data requirements into practical architecture patterns, reference designs, technical roadmaps, and implementation guidance.  Develop solution approaches for GenAI and LLM-enabled products, including RAG patterns, prompt and context strategies, knowledge retrieval, agentic workflows, AI orchestration, and human-in-the-loop operating models.  Partner with data engineering and analytics teams to design scalable data ingestion, transformation, governance, metadata, lineage, and consumption patterns that support AI and enterprise analytics use cases.  Collaborate with cybersecurity, risk, and control teams to embed secure-by-design principles, identity and access controls, logging, monitoring, data protection, and responsible AI considerations into solution designs.  Create architecture artifacts such as conceptual diagrams, logical designs, integration patterns, data flows, sequence views, decision records, and executive-ready solution summaries.  Evaluate technology options, identify trade-offs, and recommend architecture choices that balance scalability, cost, resiliency, security, maintainability, adoption, and time-to-value.  Support delivery teams through design reviews, technical problem solving, proof-of-concept development, implementation planning, and transition from architecture into engineering execution.  Contribute to enterprise standards, reusable patterns, architecture guardrails, and governance practices for cloud, data, and AI-enabled solutions.  Education & Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Cybersecurity, or a related discipline; equivalent professional experience may be considered.  Mid-level professional experience designing or delivering cloud, data, application, analytics, cybersecurity, or AI-enabled technology solutions in an enterprise environment.  Strong working knowledge of AWS architecture concepts, including cloud-native services, networking, security, identity, data services, application integration, resiliency, and operational best practices.  Practical understanding of modern data architecture and engineering concepts, including data pipelines, data modeling, batch and streaming patterns, metadata, data quality, lineage, and governed data consumption.  Knowledge of GenAI and AI solution patterns, including LLM application design, RAG, vector search concepts, agentic workflows, orchestration patterns, evaluation considerations,