About The Position

As CohnReznick grows, so do our career opportunities. As one of the nation’s top professional services firms, CohnReznick creates rewarding careers in advisory, assurance, and tax with team members who value innovation and collaboration in everything they do! CohnReznick helps organizations optimize performance, manage risk, and maximize value through CohnReznick LLP (assurance services) and CohnReznick Advisory LLC (advisory and tax services). Together, the firm provides leaders with deep industry knowledge and relationships, solutions to address clients’ unique business goals and risks, and insight on how emerging market forces can drive opportunity. With offices nationwide, the firm serves organizations around the world as an independent member of Nexia. We currently have an exciting career opportunity for an AI Solution Software Engineer (Staff/Principal) to join our Strategic AI team. CohnReznick is a hybrid firm and most of our professionals are located within a commutable distance to one of our offices. This position is considered remote which means it does not require job duties be performed within proximity of a CohnReznick office location. However, as a remote employee, you may be required to be present at a CohnReznick office with scheduled notice for client work, team meetings, or trainings YOUR TEAM. Strategic AI is a newly formed team under the COO’s organization, focused on delivering high-impact, AI-enhanced solutions across the firm. We are an AI-native team, meaning that everything we do—from planning and ideation to execution—leverages AI tools by default. Our mission is to solve complex business problems through applied AI, integrating capabilities into workflows, applications, and business processes. What We Mean by AI-Native: An AI-native individual instinctively uses AI tools to plan, ideate, research, and execute tasks. AI is not an add-on—it’s the default. This mindset includes: Starting every initiative with AI in mind Continuously learning and experimenting with the latest AI tools, models, and capabilities Treating AI as a core collaborator in problem-solving and execution

Requirements

  • 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)

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • generous PTO
  • flexible work environment
  • expanded parental leave
  • extensive learning & development
  • paid time off for employees to volunteer
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