Job Description

Drives the strategic vision and roadmap for Cloud products with cross-divisional impact, demonstrating a deep understanding of the product(s) and associated business areas. Products often have enterprise-wide implications.

We are seeking a highly skilled and visionary   AI SDK Architect   to lead the design and scaling of our AI tools and infrastructure. This role is pivotal in enabling product teams to build, deploy, and monitor AI-powered applications using foundational models and agentic frameworks like LangGraph.

Key Responsibilities

• Architect and scale   AI SDKs that support foundational model integration, agentic workflows, and real-time inference pipelines  
• Collaborate with AI/ML engineers, product teams, and platform architects to define end-to-end agentic AI application patterns 
• Drive the   adoption of LangGraph   and similar frameworks to orchestrate multi-agent workflows and memory-augmented reasoning  

  Define and enforce   technical standards   for observability, security, and responsible AI practices within the SDK  

• Partner with data engineering teams to integrate structured and unstructured data sources (e.g., S3, Redshift, Confluence) into knowledge bases  

  Contribute to   technical roadmaps, architecture reviews, and proof-of-concept initiatives for emerging AI capabilities  

Required Qualifications

• Deep understanding of   foundation models  (e.g., GPT, LLaMA, Claude) and their adaptation techniques (prompt engineering, RAG, fine-tuning
• Hands-on experience with   LangGraph   or similar agentic orchestration frameworks   Proficiency in Python and familiarity with cloud-native AI services (e.g., AWS Bedrock, SageMaker, OpenSearch, Redshift) 
• Strong knowledge of   CI/CD pipelines, containerization (Docker, Kubernetes), and observability tools  
• Excellent communication skills and ability to influence cross-functional stakeholders.

Preferred Qualifications

• Experience with   SDK development   and API lifecycle management.
• Familiarity with   security architecture   for AI systems and data governance.
• Prior work in   enterprise-scale AI deployments   or platform enablement roles.

Additional Notes

• This role is part of a broader initiative to enable over 750 product teams to integrate GenAI into their workflows  
• Candidates should be comfortable working in a fast-paced, experimental environment with evolving metrics and goals.

Special Factors

Sponsorship

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.

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