Vanguard Logo

Vanguard

Domain Architect- AI/ML, Senior Specialist

Posted 12 Days Ago
Be an Early Applicant
In-Office
Charlotte, NC, USA
Senior level
In-Office
Charlotte, NC, USA
Senior level
Lead design and delivery of secure, scalable LLM-powered architectures (RAG, agentic systems, orchestration) and define reusable patterns, observability, and governance. Embed responsible AI, security, and production best practices; review code/architecture, mentor teams, and align stakeholders to accelerate enterprise adoption.
The summary above was generated by AI

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. 

What it means to work at Vanguard: 

This is an opportunity to help shape Vanguard’s leading client-facing AI assistant, while advancing the enterprise architecture patterns that enable secure, scalable, and responsible AI across the firm. You will join a high-energy team working on meaningful, visible, and fast-evolving AI capabilities—where we hold a high bar for engineering excellence, collaborate deeply across the enterprise, and make time to enjoy the journey together.

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. 

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

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. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Vanguard Charlotte, North Carolina, USA Office

Two North Falls Plaza, Charlotte, NC, United States, 28217

Similar Jobs

An Hour Ago
Hybrid
Senior level
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Designs, proposes, and codes complex data and automation solutions on AWS; leads problem solving, provides technical guidance, and applies IaC and modern tooling to align software with business strategy. Works with AWS data/ML services and mentors teams to deliver reliable production systems.
Top Skills: Amazon BedrockAmazon SagemakerAmazon Web Services (Aws)SparkAws CdkDatazoneEmrInfrastructure As Code (Iac)Lake FormationPysparkPythonTerraform
An Hour Ago
Hybrid
55K-135K Annually
Mid level
55K-135K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
As a Product Owner II at PNC, you will manage the vision and product backlog for data quality products, collaborating with stakeholders and teams to ensure alignment with business needs and successful product delivery.
Top Skills: Agile DevelopmentData QualityData VisualizationScrumUser Experience (Ux) Design
An Hour Ago
Hybrid
Senior level
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Senior Business Systems Analyst supporting commercial card enhancements: analyze requirements, define system scope, manage change governance, create UAT and post-production validation, collaborate with vendors and stakeholders, direct process improvement projects, and produce turnover and client-facing materials.

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account