SENIOR AI ENGINEER

Coforge; Oaks (PA); On-site; USD 150,000 - 190,000; Full time

Job summary

Coforge is seeking an experienced Senior AI Engineer to design and deliver scalable AI-driven solutions for advanced analytics, intelligent decision-making, and business process optimization.

You will lead Python development, SQL analytics, and Azure-based AI services, ensuring secure, compliant, and scalable deployments across enterprise environments.

Qualifications

• Bachelor's or Master's degree in CS, AI, engineering, or data science.
• 8+ years of software engineering with at least 4+ years in AI/ML.
• Strong SQL expertise and query optimization.
• Hands-on experience with Microsoft Azure cloud and AI services.
• Experience deploying enterprise-scale AI solutions in regulated environments.

Responsibilities

• Design end-to-end AI and analytics solutions for predictive and autonomous use cases.
• Develop scalable architectures for model training, inference, and analytics workloads.
• Ensure solutions are resilient, extensible, and aligned with enterprise standards.
• Establish traceability, explainability, and governance of AI workflows.
• Drive architecture decisions for future AI initiatives and scalability.

Skills

AI/ML lifecycle

SQL expertise

Azure cloud platform

Python development

Enterprise architecture

Regulated environments

Education

Bachelor's or Master's degree in CS/AI/Engineering/Data Science

Tools

Azure OpenAI

Azure Machine Learning

Cognitive Services

ETL/SQL tooling

Job 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

• 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.
• 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.
• 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.
• 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 Governance & Explainability
• Entity Resolution & Relationship Modeling