AI Engineer (Financial Services)

AI Engineer (Enterprise AI Platforms) Location: [Onsite / Hybrid / Remote] Employment Type: Full-Time (W2 Only) Employment Type: No Corp-to-Corp (C2C) About The Role We are seeking an AI Engineer to design, develop, and deploy enterprise AI solutions within a financial services environment . This role focuses on building production-grade AI systems using machine learning, large language models (LLMs), and data-driven architectures to support use cases such as risk analysis, fraud detection, customer intelligence, and regulatory automation . You will work in a highly regulated environment , ensuring all AI solutions are secure, explainable, and compliant with financial standards. Key Responsibilities Design and develop AI/ML models and LLM-based applications for enterprise use cases Build and deploy RAG (Retrieval-Augmented Generation) pipelines and intelligent systems Develop scalable data pipelines and AI workflows Integrate AI solutions with enterprise systems, APIs, and data platforms Implement model monitoring, evaluation, and optimization Ensure explainability, auditability, and compliance of AI systems Work with large structured and unstructured datasets Collaborate with cross-functional teams to deliver AI-driven solutions Support deployment using cloud platforms and MLOps practices Required Skills 4+ years of experience in AI/ML engineering or data science Strong programming skills in Python Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience building LLM-based applications and RAG pipelines Strong understanding of data processing, feature engineering, and model evaluation Experience with APIs, microservices, and system integration Experience working in enterprise environments (financial preferred) Preferred Qualifications Experience with LLMs (GPT, Claude, Llama, Mistral) Familiarity with vector databases (Pinecone, FAISS, Weaviate) Experience with MLOps tools and model deploymentExperience with cloud platforms (AWS, Azure, GCP) Knowledge of data security, governance, and compliance requirements Exposure to financial use cases (fraud detection, risk, compliance) What We’re Looking For Strong AI/ML engineering and problem-solving skills Ability to build scalable, production-ready AI systems Understanding of model explainability and regulatory requirements Experience delivering enterprise AI solutions in real-world environments J-18808-Ljbffr