Cloud Platforms and Agentic AI Architect

Cloud Platforms and Agentic AI Architect The Opportunity: Drive the architecture, design, and delivery of scalable, multi‑cloud AI systems and API‑driven, event‑based applications. Lead teams in integrating structured and unstructured data to build Lakehouse architectures and support retrieval‑augmented AI pipelines. Establish API governance and multi‑cloud LLM routing using Azure APIM or AI Gateway. Oversee cloud infrastructure provisioning and full‑stack observability across Azure and AWS environments. Guide end‑to‑end ML lifecycle implementation, from ingestion through training, deployment, and t race ability, and promote modern agentic delivery practices. Mentor teams, drive technical excellence, and support public‑health aligned mission needs with empathy and strong leadership instincts.  You Have: 10+ years of experience leading enterprise IT and sof tware delivery programs, including cloud migration or modernization 8+ years of experience designing Azure or AWS cloud architectures  5+ years of experience building API‑first, microservices‑based, and event‑driven applications such as Azure Service Bus and Event Grid 3+ years of experience implementing AI, ML, or knowledge‑based systems, including agentic workflows, RAG pipelines, ontology‑driven architecture, and vector search Experience in Azure AI Search and PostgreSQL PgVector, including conceptualizing vector index strategies for varied use cases Experience with Azure APIM or AI Gateway to enable secure API exposure and multi‑cloud model routing, including Azure OpenAI, Bedrock, and partner LLMs Experience designing and implementing full‑stack observability for applications, microservices, and AI agents using Azure Monitor, App Insights, and OTel for tele met ry, tracing, and cost visibility Experience with cloud infrastructure provisioning and operations across Azure, including AKS, Container Apps, App Service, Functions, Logic Apps, and Storage, and AWS Experience with end‑to‑end ML lifecycle workflows, including ingestion, feature engineering, training, deployment, cataloging, drift tracking, and Azure Databricks, for Lakehouse integration and delta sharing Bachelor’s degree   Nice If You Have: Experience implementing ML workflows within enterprise or public‑health environments Experience leading technical delivery teams Knowledge of microservice API orchestration, caching strategies, and secure API exposure patterns Knowledge of multi‑cloud AI access models and architectural integration patterns Knowledge of responsible AI, data ethics, privacy, and security best practices Possession of strong communication skills Master's degree in CS, Management Information Systems, or IT Azure or AWS Certification s Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this