Design and deliver scalable AI and analytics solutions across predictive, generative, and intelligent automation use cases.
Responsibilities
- Architect end-to-end AI and analytics solutions for predictive, generative, and intelligent automation scenarios
- Build scalable solution designs supporting model training , inference , feature generation , and analytical workloads
- Ensure architectures are resilient , extensible , and consistent with enterprise architecture standards
- Set up traceability and explainability across AI workflows and outputs
- Make architecture decisions that enable future AI initiatives and scalability needs
- Develop clean, modular , maintainable Python applications for AI and analytics
- Create reusable components and frameworks for 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
- Develop and optimize complex SQL queries using CTEs , window functions , aggregates , and advanced analytical patterns
- Support large-scale analytical workloads and performance tuning efforts
- Design approaches for entity resolution , relationship discovery , and AI-driven analytics
- Ensure accuracy and consistency of analytical outputs and reporting
- Design and implement secure , scalable AI solutions on Microsoft Azure
- Use Azure-native services for AI model deployment , monitoring , and governance
- Implement security controls including RBAC and managed identities , aligned with compliance requirements
- Define environment strategy across Development , Test , and Production
- Optimize cloud resource utilization and cost efficiency
- Design solutions for entity mapping , relationship modeling , network analysis , and knowledge graph use cases
- Develop reusable AI features to accelerate future AI initiatives
- Enable pattern discovery using intelligent contextual modeling and analytical frameworks
- Integrate internal and external sources to enrich AI-driven insights
- Build architectures that can be reused across multiple AI and business scenarios
- Design AI solutions that satisfy regulatory , compliance , and audit requirements
- Collaborate with business stakeholders across risk , operations , compliance , and analytics functions
- Apply 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 a related field
- 8+ years of software engineering experience, including 4+ years focused on AI/ML solutions
- Expert-level Python programming
- 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 the AI/ML lifecycle , including model deployment, monitoring, and governance
- Experience implementing secure and compliant cloud architectures
Technologies
- Python
- SQL
- CTEs
- Window functions
- Aggregates
- Microsoft Azure
- RBAC
- Managed identities
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 and Explainability
- Entity Resolution and Relationship Modeling
- Knowledge Graphs
- Machine Learning Integration
- Model Deployment and Monitoring
- Financial Services Domain
Location: Oaks, PA (onsite)
Minimum Experience: 8 years
Education: Bachelor’s or Master’s degree
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