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 VisioProven 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)

KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=I008_3_25
California Salary Range: $118200 - $219100

KPMG offers a comprehensive compensation and benefits package. 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. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

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. These include 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, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.