Description - We are seeking an experienced Senior AI Engineer to design and deliver scalable AI-driven solutions that enable advanced analytics, intelligent decision-making, and business process optimization. The ideal candidate will possess strong expertise in AI solution architecture, Python development, advanced SQL, Azure cloud technologies, and AI-powered analytical platforms. Experience in financial services and regulated environments is highly desirable. Responsibilities AI Solution Architecture Design end-to-end AI and analytics solutions that support predictive, generative, and intelligent automation use cases. Develop scalable architectures that support model training, inference, feature generation, and analytical workloads. Ensure solutions are resilient, extensible, and aligned with enterprise architecture standards. Establish traceability and explainability across AI workflows and outputs. Drive architecture decisions that support future AI initiatives and scalability requirements. Python Development for AI Develop clean, modular, and maintainable Python applications for AI and analytics solutions. Build reusable components and frameworks supporting machine learning and generative AI workloads. Implement robust error handling, logging, monitoring, and automated testing practices. Integrate AI/ML models into enterprise applications and business workflows. Optimize code performance and maintain high engineering standards. Advanced SQL Analytical Engineering Develop and optimize complex SQL queries using CTEs, window functions, aggregates, and advanced analytical patterns. Support large-scale analytical workloads and performance tuning initiatives. Design efficient approaches for entity resolution, relationship discovery, and AI-driven analytics. Ensure accuracy and consistency in analytical outputs and reporting. Azure AI Cloud Platform Engineering Design and implement secure, scalable AI solutions on Microsoft Azure. Utilize Azure-native services to support AI model deployment, monitoring, and governance. Implement robust security controls including RBAC, managed identities, and compliance requirements. Ensure proper environment strategy across Development, Test, and Production environments. Optimize cloud resource utilization and cost efficiency. AI Mapping Relationship Analytics Design solutions supporting entity mapping, relationship modeling, network analysis, and knowledge graph use cases. Develop reusable AI features that accelerate future AI initiatives. Enable pattern discovery through intelligent contextual modeling and analytical frameworks. Support integration of internal and external sources to enrich AI-driven insights. Build architectures that can be reused across multiple AI and business scenarios. Financial Services Governance Design AI solutions that meet regulatory, compliance, and audit requirements. Ensure explainability, traceability, and governance of AI-generated outcomes. Work with business stakeholders across risk, operations, compliance, and analytics functions. Apply strong quality controls to ensure accuracy and reliability of AI-driven insights. Required Skills Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or related field. 8+ years of software engineering experience with at least 4+ years focused on AI/ML solutions. Expert-level Python programming skills. Strong SQL expertise including query optimization and analytical processing. Hands-on experience with Microsoft Azure cloud platform and AI services. Experience designing and deploying enterprise-scale AI solutions. Strong understanding of AI/ML lifecycle, model deployment, monitoring, and governance. Experience implementing secure and compliant cloud architectures. Preferred Skills Experience with Generative AI, LLMs, RAG, Knowledge Graphs, and Agentic AI frameworks. Experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, and Cognitive Services. Familiarity with graph analytics, relationship modeling, and entity resolution. Financial Services domain experience including Risk, Compliance, Asset Management, Banking, or Capital Markets. Exposure to MLOps, CI/CD pipelines, and AI governance frameworks. Key Skills AI Solution Architecture Generative AI LLMs Azure OpenAI Azure AI Services Python Development Advanced SQL Azure Cloud Architecture AI Governance Explainability Entity Resolution Relationship Modeling Knowledge Graphs Machine Learning Integration Model Deployment Monitoring Financial Services Domain