Assistant Manager

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

The person will work on a variety of projects in a highly collaborative, fast-paced environment. The person will be responsible for software development activities of KPMG, India. Part of the development team, he/she will work on the full life cycle of the process, develop code and unit testing. He/she will work closely with Technical Architect, Business Analyst, user interaction designers, and other software engineers to develop new product offerings and improve existing ones. Additionally, the person will ensure that all development practices are in compliance with KPMG’s best practices policies and procedures. This role requires quick ramp up on new technologies whenever required. 

Responsibilities

We are seeking a Senior AI Engineer to design and implement advanced AI and GenAI solutions that integrate seamlessly into enterprise platforms. This role requires a strong foundation in computer science, applied mathematics, and natural language processing (NLP), coupled with experience in deploying scalable AI systems on cloud-native infrastructures.
As  AI Engineer, you will lead the technical development of AI solutions, mentor junior engineers, and collaborate with architects and product teams to deliver high-performance, reliable, and explainable AI applications.

AI & NLP Development
• Design and implement models for text, structured/unstructured data, and conversational AI systems.
• Work with large language models (LLMs), RAG pipelines, embeddings, and vector databases.
• Apply core NLP techniques: tokenization, entity recognition, text classification, summarization, and semantic search.
Mathematical & Algorithmic Foundations
• Apply fundamentals of linear algebra, probability, optimization, and statistics to AI model design and performance tuning.
• Develop scalable algorithms for search, retrieval, and real-time inference.
System Integration & Deployment
• Build and integrate AI microservices into enterprise-grade systems via APIs, event-driven patterns, and cloud services. • Implement MLOps workflows including CI/CD, model monitoring, retraining pipelines, and explainability. Cloud & Scalability • Deploy and optimize AI workloads on Azure ML, AWS Sagemaker, or GCP Vertex AI. • Ensure cost optimization, latency reduction, and security compliance. Leadership & Collaboration • Mentor AI Engineers and guide technical decision-making. • Partner with Solution Architects and business teams to align models with client requirements. • Champion Responsible AI principles (fairness, bias detection, compliance).