13+ years Job Summary Vanguard is looking for an experienced AI/ML Engineer to design, develop, deploy, and optimize machine learning and AI solutions for enterprise applications. The ideal candidate should have strong hands-on experience in Python, machine learning, generative AI/LLMs, NLP, cloud platforms, and production-grade AI/ML pipelines . Key Responsibilities Design and develop machine learning and AI solutions for enterprise business problems. Develop, train, evaluate, and optimize ML models using Python . Work with Generative AI, LLMs, NLP, RAG, prompt engineering, and AI agents . Build production-ready AI applications using appropriate ML/GenAI frameworks. Develop RAG pipelines , including document ingestion, chunking, embeddings, vector search, retrieval, and response generation. Work with LLMs and foundation models and implement prompt/context engineering and model evaluation. Develop and integrate AI solutions with enterprise applications using REST APIs and microservices . Perform data preparation, feature engineering, model validation, and performance optimization. Work with structured and unstructured data using SQL and Python . Develop scalable AI/ML pipelines and support model deployment into production. Collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, Product Owners, and business stakeholders. Monitor model performance, data quality, latency, accuracy, and production issues. Participate in technical design, code reviews, testing, troubleshooting, and documentation. Follow enterprise security, governance, privacy, and software development standards. Required Skills 8+ years of experience in software engineering, data science, machine learning, or AI engineering. Strong hands-on Python programming. Strong understanding of Machine Learning and Deep Learning concepts. Experience with Scikit-learn, PyTorch and/or TensorFlow . Hands-on experience with Generative AI and Large Language Models (LLMs) . Experience with RAG architectures and vector databases/search. Experience with NLP , embeddings, semantic search, and text-processing techniques. Experience with Prompt Engineering / Context Engineering . Experience with LangChain, LangGraph, Llama Index , or similar frameworks. Strong SQL and data-processing skills. Experience developing REST APIs / microservices . Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform . Experience with Git and modern CI/CD practices. Strong debugging, problem-solving, and communication skills. Preferred Skills Experience with AI Agents / Agentic AI . Experience with Fine-tuning / PEFT / LoRA . Experience with vector databases such as Pinecone, FAISS, Weaviate, Milvus, or Azure AI Search . Experience with Azure OpenAI, AWS Bedrock, Amazon SageMaker, Vertex AI , or equivalent AI platforms. Experience with MLOps and model deployment. Kubernetes/Docker experience. Kafka or other event-streaming technologies. Experience with financial services, banking, investment management, or other regulated industries. Knowledge of responsible AI, model governance, security, and data privacy.
