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# AI Solution Software Engineer (Staff/Principal)

- **Company:** CohnReznick LLP
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cyber Security, Digital Architecture, Middleware, Github, Identity and Access Management, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Large Language Models, AI Platforms, Information Technology, Serverless Computing
- **Published:** July 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8bki86xvg

## About the Role

* 10+ years in software engineering, with at least 5 years in applied AI solution delivery
 * Experience with Azure AI platform (OpenAI, AI Studio/Foundry, Cognitive Search), Azure Functions, and one of the coding harnesses (Claude, Copilot, Codex, Windsurf, or others)
 * Strong proficiency in Python, TypeScript, and C#; experience with full-stack frameworks and HTTP-based API middleware
 * Expertise with GitHub, VS Code, and CI/CD pipelines
 * Deep understanding of enterprise data security, governance, and compliance
 * Foundational knowledge of LLM AI models, MCP, and RAG
 * Demonstrated self-learning and continuous upskilling in AI tools, models, and capabilities
 * Bachelor's or Master's degree in Computer Science or related field (or equivalent experience)

Preferred Qualifications

 * Experience in knowledge-engineering and working with domain experts to build software that transforms and legacy processes
 * Experience with written specifications and/or product management
 * Experience working in high-compliance, legally-regulated environments such as healthcare or finance ("FinTech")
 * Familiarity with security processes and requirements
 * Experience leading a team, working with outsourced engineers, providing feedback to stakeholders, and influencing technical and product roadmaps
 * Experience with Dataverse, Fabric, and other similar technologies

## Description

* Architect and develop AI-enabled applications leveraging LLMs, ML models, GenAI, RAG/GraphRAG, and NLP/NLM techniques
 * Build and maintain full-stack web applications, ensuring production readiness: Secure, scalable, and resilient solutions, in conjunction with cyber security, risk, and IAM teams
 * Design, implement secure and managed data connectors and integrations for AI use
 * Document architecture, workflows, and practices; contribute to internal learning and knowledge sharing


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