Domain Architect- AI/ML, Senior Specialist

About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe-directly, through workplace plans, and through financial intermediaries.

Vanguard's India Office

Vanguard's office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary

This role drives the implementation of AI/ML architecture using diverse technologies to address client needs while aligning with business goals; this role also leads model development and training, drives experimentation, and champions scalable, high-performance machine learning solutions.

Responsibilities
1. Assesses business requirements and the architectural framework of Artificial Intelligence/Machine Learning solutions to meet business needs, with internal and external clients and partners.
2. Builds the deployment plan for highly scalable and secure Artificial Intelligence platforms, applications, and systems that run in various cloud infrastructures and Artificial Intelligence devices successfully.
3. Applies architecture specification and documents technical and configuration for all users (customers, engineering teams, product teams); resolves Artificial Intelligence/Machine Learning solution deployment issues.
4. Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Artificial Intelligence/Machine Learning related products and services in specific verticals; staying current on the latest Artificial Intelligence/Machine Learning technologies and tools.
5. Applies moderately complex machine learning algorithms and technologies into organizational practices, such as regression models.
6. Analyzes the statistical analyses on business and processes using machine learning techniques to find out opportunities for business development and process improvement.
7. Performs the A/B testing tasks and initiatives on statistical models, machine learning algorithms and systems.
8. Optimizes statistical models continuously to achieve best performance of machine learning algorithms.
9. Validates business problems and needs; ensures appropriate AI technologies and tools are utilized to solve problems.
10. Pilots AI models and prototype applications; evaluates whether business challenges are addressed.
11. Performs code reviews, optimizes algorithms and models and conducts experiments to ensure the functionality and performance of AI products or solutions.

• Minimum 10 years of relevant work experience, including at least 3 years in a technology architect role focused on AI/ML.
• B.Tech/B.E. in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field required. M.Tech, M.S. in AI/ML/Data Science, preferred.
• Deep expertise in GenAI, agentic architecture, and architecture patterns
• Experience in productionizing solutions built on multi-agent architectures
• Strong exposure to AWS, frontier models, and AI engineering patterns
• Experience in fine-tuning and developing small language models
• AWS Solutions Architect certification(Mandatory)
• Expertise in AI/ML architecture, statistical modeling, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven experience deploying scalable and secure AI systems on cloud platforms (AWS, Azure, or GCP).
• Strong understanding of regression models, A/B testing strategies, and optimization techniques.
• Ability to pilot prototypes and translate models into functional AI solutions that address real-world business problems.
• Experience in code review, algorithm refinement, and system performance tuning.
• Excellent stakeholder management, cross-functional collaboration, and documentation capabilities.
• Awareness of emerging trends in AI/ML and ability to apply them in enterprise contexts.