Domain Architect- AI/ML, Senior Specialist

Role Summary Vanguard is seeking a Domain AI Architect to lead the design of secure, scalable, and responsible AI solutions that power next‑generation client and crew experiences. This role partners across Engineering, Product, Data, Risk, Security, and Enterprise Architecture to translate business needs into production‑ready AI architectures. The architect will define reusable patterns for LLMs, RAG, agentic systems, model integration, observability, and governance while being hands‑on and coaching teams on modern AI engineering practices. Key Responsibilities Architecture & Platform Leadership Architect end‑to‑end AI architectures for LLM‑powered applications, RAG, agentic workflows, orchestration frameworks, APIs, and enterprise data integration. Define reusable architecture patterns, reference implementations, and deployment approaches that accelerate delivery across teams. Enable secure, resilient, observable, and cost‑effective AI services across cloud‑native environments. Responsible AI & Engineering Excellence Embed responsible AI, security, privacy, auditability, and regulatory controls into solution designs. Establish best practices for prompt engineering, evaluation, testing, observability, model lifecycle management, and production readiness. Review architectures and code, optimize performance and reliability, and support experiments that validate business value. Influence & Stakeholder Partnership Serve as a trusted advisor to product, engineering, data, risk, and architecture stakeholders. Mentor engineers and technical leads on AI architecture, emerging technologies, and delivery practices. Drive alignment across teams while balancing innovation, governance, and pragmatic execution. Qualifications 10+ years in software engineering, distributed systems, or application architecture; demonstrated generative AI solutions in production. Expertise with LLMs, RAG, agentic AI, LangChain/LangGraph or similar frameworks, vector databases, APIs, microservices, cloud‑native platforms, and Kubernetes/EKS. Experience designing secure, scalable enterprise applications; financial services or regulated‑industry experience preferred. Strong communication, influence, and stakeholder partnership skills. Bachelor's degree or equivalent experience required; graduate degree preferred. What Success Looks Like AI solutions are delivered securely, reliably, and at enterprise scale. Reusable patterns accelerate adoption across product and engineering teams. Responsible AI and governance are embedded from design through production. AI platforms create measurable business, client, and crew outcomes. 10+ years in software engineering, distributed systems, or application architecture. 3+ years designing and delivering AI/ML or generative AI solutions in production. Hands‑on expertise with LLMs, RAG, agentic AI, LangChain/LangGraph or similar frameworks, vector databases, APIs, microservices, cloud‑native platforms, and Kubernetes/EKS. Strong ability to communicate complex technical concepts to business and technical stakeholders. Sponsorship Vanguard is not offering visa sponsorship for this position. #J-18808-Ljbffr 慨正橡扯