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Gen AI - Consultant

KPMG · Bangalore

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Collected role description

Role overview

Gen AI - Consultant at KPMG

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.

Responsibilities

  • Work with large language models (LLMs), RAG pipelines, embeddings, and vector databases.
  • Develop scalable algorithms for search, retrieval, and real-time inference.
  • Implement MLOps workflows including CI/CD, model monitoring, retraining pipelines, and explainability.

Employment details

  • Location: Bangalore [Karnataka] [India]

Application details

  • Apply core NLP techniques: tokenization, entity recognition, text classification, summarization, and semantic search.
  • Apply fundamentals of linear algebra, probability, optimization, and statistics to AI model design and performance tuning.

About the employer

  • KPMG entities in India are professional services firm(s).
  • KPMG was established in India in August 1993.
  • KPMG entities in India offer services to national and international clients in India across sectors.

Additional role details

  • These Indian member firms are affiliated with KPMG International Limited.
  • 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, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
  • We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
  • We are seeking a Senior AI Engineer to design and implement advanced AI and GenAI solutions that integrate seamlessly into enterprise platforms.
  • 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.
  • Mathematical & Algorithmic Foundations
  • System Integration & Deployment
  • Build and integrate AI microservices into enterprise-grade systems via APIs, event-driven patterns, and cloud services.
  • 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).
  • Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain).
  • Solid grasp of mathematics for AI: linear algebra, probability, optimization, statistics.
  • Expertise in NLP & LLMs: embeddings, transformers, semantic search, RAG, prompt engineering.
  • Experience with data engineering tools (Spark, Airflow, SQL/NoSQL DBs).
  • Proficiency in vector databases (FAISS, Pinecone, Weaviate) and knowledge graphs.
  • Hands-on with cloud-native AI deployments (Azure, AWS, GCP).
  • Familiarity with API-driven design, microservices, and event-driven architectures.
  • Exposure to DevOps/MLOps practices including containerization (Docker/Kubernetes).