Lead Specialist, AI Solutions Architect

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever‑changing market environment, our professionals must be adaptable and thrive in a collaborative, team‑driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world‑class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you’re looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solutions Architect to join our KPMG Spectrum practice. Responsibilities Lead the development lifecycle using Agile and DevOps methodologies, managing coding standards, performing code reviews, and facilitating SCRUMs with expertise in JIRA/ADO; ensure efficiency with source control management (Git, Azure DevOps) and CI/CD systems (Jenkins, Docker) Gain comprehensive understanding of current codebases and systems across various tech stacks, including Cloud‑native IaaS/PaaS (Azure, AWS), Web UI frameworks (React, Angular), backend technologies (Node.js, Java, Python), and database integrations Collaborate with architects and product managers to evaluate advanced technologies and help architect new applications; oversee technical documentation, covering standards, environments, and technical details for development efficiency Design scalable AI solutions, leading POCs and pilots to solve complex business challenges; apply expertise in data handling, cloud scaling, and continuous integration to streamline AI deployment; stay updated on AI trends and industry challenges to create tailored AI solutions, ensuring ethical design, fairness, and seamless integration with organizational systems Collaborate with data scientists and engineers to optimize AI models, monitoring performance and adjusting systems for improved efficiency and translate data insights into actionable business strategies Qualifications Minimum five years of recent experience in leading enterprise software development with Agile Scrum methodologies Bachelor’s degree in computer science or a related field Strong understanding of Full Stack development, including modern UI frameworks (Angular, React) and backend services (Java, SpringMVC, Python) Experience with cloud‑native solutions on Azure/AWS and DevOps tools (Jenkins, Ansible); familiarity with tools like Confluence, Lucid Chart, and Visio. Proven experience managing AI projects, from design to deployment, ensuring ethical implementation and alignment with organizational standards; expertise in AI technologies, including GenAI, machine learning, and NLP frameworks (RAG, TensorFlow, PyTorch) Ability to lead and mentor technical teams (on/offshore), with at least two years in an AI leadership role Ability to travel as required 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, competitive benefits package, including medical, dental, vision, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits. Depending on job classification, standard work hours, and years of service, you will receive personal time off and regular holiday breaks. EEO Statement 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. #J-18808-Ljbffr