SENIOR AI ENGINEER

About the role

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.

Requirements

• 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 Qualifications

• 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