Domain Architect- AI/ML, Senior Specialist

Vanguard • Malvern, PA

7d • Hybrid

About The Position

Explain and Empower Team at 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.

Requirements

• 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.
• 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.

Nice To Haves

• financial services or regulated-industry experience preferred

Responsibilities

• 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.
• 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.
• 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.

Benefits

• Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior