About this role
As AI Architect at KPMG You will be an accomplished individual contributor. You will specialize in helping our team’s driving innovation, accelerating the adoption of cutting-edge technologies, and enhancing our engineering practices. You will be known for having skills in software architecture embedding AI into it and will work across our teams to help them build and adopt common architectures and tooling w.r.t AI tools and technologies. You should be self-motivated, capable of writing code, and passionate about building scalable, high-quality software solutions.
Responsibilities:s
- Work on the Implementation and Solution delivery of the AI applications leading the team across onshore/offshore and should be able to cross-collaborate across all the AI streams.
- Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools.
- Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications.
- Partner with product management to design agile project roadmaps, aligning technical strategy. Work along with data engineering teams to ensure smooth data flows, quality, and governance across data sources.
- Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications.
- Fast adaptability with the emerging technologies and methodologies, recommending proven innovations.
- Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.
- Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.
- Ensure the implementation supports scalability, reliability, maintainability, and security best practices.
- Have Quality by Desgin mindset and approach
- Expertise on C# or Python
- Expertise in ML and understanding, fine tuning LLMs/SLMs
Qualifications:
Bachelor’s/Master’s degree in Computer Science
Certifications in Cloud technologies – Azure
Hands on knowledge of Fabric
#KGS
#LI-SM2
Other facts
About KPMG Global Services
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients.
Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
What you'll do
- The role involves leading the implementation and solution delivery of AI applications while collaborating across teams. Responsibilities include designing end-to-end AI applications and ensuring integration across various tools.
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