SENIOR AI ENGINEER

Job Description

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