Senior AI Engineer

Coforge Ltd.; Oaks (PA); On-site; USD 150,000 - 210,000; Full time

Job summary

Coforge Ltd. in Oaks, PA is seeking an experienced AI/Analytics Architect to design and deliver scalable solutions across predictive, generative, and intelligent automation domains.

You will lead end-to-end architectures on Azure, ensure security and governance, and drive MLOps, data modeling, and performance optimization across enterprise systems.

This onsite, senior role requires 8+ years of software engineering with strong Python and SQL, plus Azure expertise.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Engineering, Data Science, or related field.
• 8+ years of software engineering experience, including 4+ years on AI/ML solutions.
• Expert-level Python programming.
• Strong SQL expertise and query optimization.

Responsibilities

• Architect end-to-end AI and analytics solutions for predictive, generative, and automation use cases.
• Build scalable designs for model training, inference, and feature generation.
• Ensure architectures are resilient, extensible, and enterprise-aligned.
• Develop modular Python applications for AI and analytics.
• Implement robust error handling, logging, monitoring, and automated testing.
• Integrate AI/ML models into enterprise applications and workflows.

Skills

Python Development

Advanced SQL

AI/ML lifecycle

Azure Cloud

Security & Compliance

Education

Bachelor’s or Master’s degree in CS/AI/Engineering or related field

Tools

Azure OpenAI

Azure AI Services

MLOps

Job description

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