AI Solution Software Engineer (Staff/Principal)
CohnReznick
AI Solution Software Engineer (Staff/Principal) Opportunity ID: 9594 Department: Practice Management Location: Austin, Texas Function: GenAI We currently have an exciting career opportunity for an AI Solution Software Engineer (Staff/Principal) to join our Strategic AI team. This position is considered remote, but a remote employee 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 focused on delivering high-impact, AI‑enhanced solutions across the firm. It is an AI‑native team, using AI tools by default in planning, ideation, execution, and problem‑solving.YOUR ROLE
Responsibilities include but are not limited to: 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 cybersecurity, 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.YOUR EXPERIENCE
The successful candidate will have: 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 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. We believe it’s important to balance work with everyday life – and make time for enjoyment and fun. We invest in a robust Total Rewards package that includes generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and paid time off for employees to volunteer. CohnReznick is an equal opportunity employer, committed to a diverse and inclusive team to drive business results and create a better future every day for our team members, clients, partners, and communities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For more information, please see Equal Employment Opportunity Posters . If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at View email address on click.appcast.io. Please note: This email address is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. #J-18808-Ljbffr CohnReznick- ...AI Solution Software Engineer (Staff/Principal) Opportunity ID 9594 Department Practice Management Location(s) Austin State Texas Function GenAI Job Description As CohnReznick grows, so do our...SuggestedWork at officeLocal areaRemote workFlexible hours
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