Director, AI Development

We are seeking an Engineering Director for the KPMG Tax and Legal Team based in Atlanta. This hybrid role will work out of our Atlanta Ignition location. Responsibilities Define roadmaps and technical strategies for multi‑year, large‑scale programs that span cloud services, microservices, front‑end frameworks and Artificial Intelligence (AI)/ Machine Learning (ML) integrations Act as the main liaison between business stakeholders, enterprise architects, security/risk officers, and product leadership to align priorities, scope, and budgets Own end‑to‑end program delivery; guide design reviews, enforce best practices (infrastructure as code, containerization, API standards), and validate POCs for new technologies (LLM fine‑tuning, prompt‑based workflows, and more) Hire, mentor and grow a high‑performing team of engineers (full‑stack, data science, DevOps); create clear career paths and foster a culture of continuous learning Work in a highly regulated environment with security testing and risk teams to bake in security‑by‑design threat modeling, automated security scans, pen‑testing cycles, and regulatory compliance Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications Minimum ten years of recent experience in software engineering; minimum five years of recent experience in a hands‑on leadership role; proven track record leading large, complex enterprise programs on Azure (App Services, Functions, Azure Kubernetes Service, SQL Database) Master's degree from an accredited college or university is preferred. Minimum of a bachelor's degree in computer science, engineering or related field is required. Deep practical experience and background in GenAI, Python, .NET Framework/Core, C#, PowerShell, Angular, TypeScript, LLM fine‑tuning (Azure OpenAI or open‑source), data pipelines, model deployment, DevOps/CI‑CD (Azure DevOps, GitHub Actions), infrastructure as code (ARM, Bicep) Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization; experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit‑learn) is preferred with excellent analytical skills Exceptional communicating skills, demonstrated ability and comfort in presenting to C‑suite and translating business needs into technical solutions; possess an entrepreneurial mindset that is proactive, data‑driven, and thrives in ambiguity Must be authorized to work in the U.S. without the need for employment‑based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H‑1B, L‑1, TN, O‑1, E‑3, H‑1B1, F‑1, J‑1, OPT, CPT or any other employment‑based visa) Benefits KPMG offers a comprehensive benefits package, including medical, dental, vision, disability, life insurance, 401(k) and a robust suite of personal well‑being benefits to support mental health. These benefits are based on eligibility and overall compensation may vary by role, work location, and experience. Equal Opportunity and Legal Statements KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act and related ordinances, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr KPMG Careers