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 India 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 We are seeking an experienced AI/ML Architect to design, develop, and govern enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will define AI architecture strategies, guide engineering teams, establish MLE / MLOps best practices, and drive the adoption of Agentic AI, Generative AI, Machine Learning, and Data Science solutions that deliver measurable business value. Responsibilities AI Strategy & Architecture

• Contribute / Define enterprise AI/ML architecture and technology roadmap.
• Design scalable, secure, and reliable AI platforms and solutions.
• Evaluate and recommend AI/ML technologies, frameworks, and tools.
• Establish architectural standards, design patterns, and governance frameworks.
• Translate business requirements into AI solution architectures. Machine Learning & Data Science
• Design end-to-end ML systems covering data ingestion, feature engineering, training, deployment, and monitoring. Knowledge of Graph DBs. Timeseries DB, NoSQL
• Lead the implementation of predictive analytics, recommendation systems, deep learning, time series forecasting, NLP, graph and computer vision solutions.
• Guide model selection, experimentation, evaluation, and optimization.
• Ensure model explainability, reproducibility, and responsible AI practices. Generative AI & Agentic AI solutions
• Architect GenAI applications using LLMs, RAG, agents, and vector databases.
• Design prompt engineering, fine-tuning, and model customization strategies.
• Evaluate foundation models from Azure OpenAI, OpenAI, Anthropic, Google, and open-source ecosystems.
• Implement guardrails, content safety, and AI governance controls.
• Knowledge of AI security (offensive and defensive techniques), jailbreaking, prompt injection, others
• Define architectures for multi-agent and agentic AI systems. MLOps & AI Platform Engineering
• Establish CI/CD pipelines for ML and GenAI solutions.
• Design model deployment, monitoring, drift detection, and retraining frameworks.
• Implement model registry, feature stores, experiment tracking, and data / inference lineage.
• Define operational excellence standards for AI platforms. Cloud & Data Architecture
• Design AI solutions on Cloud. Preferably AWS. Azure or GCP also welcome
• Architect scalable data lakes, data warehouses, and real-time data pipelines.
• Integrate AI solutions with enterprise applications and APIs.
• Optimize infrastructure cost, performance, resiliency and scalability. Leadership & Stakeholder Management
• Provide technical leadership to data scientists, ML engineers, and software engineers.
• Conduct architecture reviews and mentor technical teams.
• Collaborate with business stakeholders, product teams, other architects.
• Drive AI adoption and innovation across the organization. Qualifications and Skills
• Overall, 16+ years and 10+ years in data engineering, cloud engineering, data science, AI/ML, or related areas.
• Experience delivering production AI solutions. Experience leading cross-functional technical teams.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
• Deep expertise in GenAI, agentic architecture, and architecture patterns.
• Technical Skills AI/ML
• Machine Learning, Deep Learning, NLP, Computer Vision, Deep Learning, Graph analytics, Time Series, reinforcement learning.
• Model evaluation and optimization techniques.
• Generative AI / agentic AI
• LLMs (GPT, Llama, Claude, Gemini, Mistral).
• RAG architectures, SLM DLM, Quantization, GPU/FPU optimization, Tokenomics
• Vector databases (Azure AI Search, Pinecone, Weaviate, Milvus, ChromaDB).
• Prompt engineering, Context Engineering, Harness, MCP, AgentOps
• Agent frameworks (Semantic Kernel, LangGraph, AutoGen, CrewAI).
• Programming
• Python, Pyspark(mandatory).
• SQL, Cypher QL/GraphQL.
• Experience with APIs and microservices.
• MLOps
• MLflow, Kubeflow, DVC.
• CI/CD pipelines.
• Docker, Kubernetes.
• Model monitoring and governance.
• Cloud Certification:

AWS AI

Certified Practitioner or equivalent.AWS Certified Cloud Practitioner or equivalent. Location This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (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.