KPMG Careers Jobs 2026 | Mass Hiring for Associate Consultant/Consultant
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KPMG Careers Jobs 2026 : KPMG is currently hiring candidates for the Associate Consultant/Consultant – AI Engineering & Generative AI Solutions position. Candidates with a B.E./B.Tech or M.E./M.Tech degree and relevant work experience can apply for this opportunity.
The role is based in Mumbai and is suitable for professionals who have hands-on experience in Python, Generative AI, Agentic AI, RAG, Machine Learning, LLMs, and AI application development.
If you have the required skills and experience, this could be a good opportunity to build your career in enterprise AI and work on modern AI-driven business solutions. Interested candidates are advised to apply online as soon as possible.
KPMG Careers Jobs 2026 Details
| Particulars | Details |
|---|---|
| Company | KPMG |
| Job Role | Associate Consultant/Consultant |
| Job Category | IT Jobs |
| Qualification | B.E./B.Tech/M.E./M.Tech |
| Experience | 1 – 6 Years |
| Salary/CTC | Best in Industry |
| Job Location | Mumbai |
| Last Date | ASAP |
Eligibility Criteria
Candidates applying for this position should meet the following requirements:
- Candidates must have a B.E./B.Tech or M.E./M.Tech degree in a relevant discipline.
- Applicants should have 1 to 6 years of relevant experience.
- Candidates should have strong practical knowledge of AI engineering, Python development, Generative AI, and related technologies.
Key Responsibilities
1. AI Solution Development
As part of the AI engineering team, you will be responsible for designing, developing, and deploying end-to-end AI applications.
Your responsibilities may include:
- Building AI applications by integrating LLMs, APIs, enterprise data sources, and user interfaces.
- Developing scalable and production-ready solutions using Generative AI, Agentic AI, RAG, GraphRAG, and foundation models.
- Creating AI-powered solutions for areas such as forecasting, information retrieval, document intelligence, and process automation.
- Developing evaluation frameworks to measure model performance, accuracy, response quality, and overall business impact.
2. Generative AI and Agentic Workflows
The role also involves working with modern Generative AI and agent-based technologies.
You may be required to:
- Design intelligent workflows using frameworks such as LangChain and LangGraph.
- Develop RAG and GraphRAG solutions for enterprise knowledge management and decision-making.
- Create effective prompt engineering strategies to improve AI output, reliability, and user experience.
- Optimize AI agents to handle complex reasoning, workflow orchestration, and autonomous tasks.
3. Model Engineering and Optimization
Candidates will also work on customizing and improving AI models for enterprise use.
Key responsibilities include:
- Customizing and optimizing open-source LLMs, OCR, and document intelligence models.
- Adapting GPU-focused AI models for CPU-based, secure, and on-premises environments.
- Applying techniques such as:
- Quantization
- Model compression
- Memory optimization
- Batching
- Caching
- Performance tuning
- Evaluating new AI architectures, foundation models, and open-source technologies.
4. Data Engineering and Integration
The position requires working with both structured and unstructured data.
Responsibilities include:
- Developing and maintaining scalable data ingestion and ETL pipelines.
- Connecting data from internal and external sources through APIs, web scraping, and automation tools.
- Using technologies such as BeautifulSoup (BS4), Selenium, and REST APIs for data collection and enrichment.
- Maintaining data quality and supporting proper governance and efficient processing for AI applications.
5. Research and Innovation
KPMG is also looking for candidates who can keep up with the rapidly evolving AI ecosystem.
You may be expected to:
- Review research papers, technical publications, and open-source projects to identify new AI capabilities.
- Experiment with emerging LLMs, OCR technologies, document intelligence platforms, and foundation models.
- Build prototypes and evaluate new technologies.
- Suggest innovative AI solutions for different business and technical challenges.
6. Documentation and Governance
You will also be responsible for maintaining proper technical documentation and supporting enterprise governance requirements.
This may include:
- Preparing technical documentation and architecture diagrams.
- Creating deployment guides and operational runbooks.
- Supporting solution reviews and code quality assessments.
- Helping ensure applications are production-ready.
- Following enterprise security, governance, and deployment standards.
Mandatory Skills and Requirements
Programming and AI Development
Candidates should have strong hands-on programming experience in Python.
Experience with the following technologies is required:
- Pandas
- Polars
- PyTorch
- LangChain
- LangGraph
- FastAPI
- Streamlit
Candidates should be capable of developing modular, scalable, maintainable, and production-ready AI applications.
Generative AI and Foundation Models
Applicants should have strong knowledge and practical experience in:
- Retrieval-Augmented Generation (RAG)
- GraphRAG
- Agentic AI frameworks
- Vector databases
- Semantic search
Experience with TabPFN or similar tabular foundation models and TimesFM or similar time-series foundation models is also expected.
Model Optimization
Candidates should have experience working with open-source AI models and should understand how to prepare them for enterprise deployment.
The required knowledge includes:
- Quantization
- Model compression
- Memory optimization
- Inference acceleration
- Resource-constrained AI deployments
Experience deploying AI models in secure and on-premises enterprise environments will be important for this role.
Preferred Skills
The following skills can give candidates an additional advantage:
- Knowledge of prompt engineering and LLM evaluation techniques.
- Experience with OCR and document intelligence solutions.
- Understanding of AI application monitoring and model observability.
- Familiarity with vector databases such as FAISS, ChromaDB, Pinecone, or Milvus.
- Knowledge of Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
- Experience in Risk, Treasury, Banking, or Financial Services domains.
- Ability to understand the latest AI research and turn it into practical business solutions.
About the KPMG AI Engineering Role
KPMG is looking for talented AI Engineers and Consultants who have strong practical knowledge of Generative AI, Agentic AI, RAG, Machine Learning, and Python development.
The selected candidates will contribute to the design, development, and deployment of enterprise-level AI solutions. The work will primarily support Risk, Treasury, and business transformation initiatives.
This is a hands-on role where professionals will work with production-ready AI applications, open-source foundation models, enterprise data, and emerging AI technologies. Candidates should also be comfortable optimizing AI workloads for secure and on-premises environments.
For professionals interested in building real-world enterprise AI solutions, this role offers an opportunity to work with some of the latest technologies in the rapidly growing Generative AI space.
How to Apply for KPMG Off Campus Drive 2026?
Interested and eligible candidates can apply online for the Associate Consultant/Consultant – AI Engineering & Generative AI Solutions position.
Candidates are advised to check the eligibility requirements carefully and submit their applications as soon as possible through the official recruitment link.
Apply Link : Click Here
And also apply in Larsen & Toubro Hiring Jobs 2026
Conclusion
The KPMG Recruitment 2026 drive is a good opportunity for experienced AI and software professionals who want to work on Generative AI, Agentic AI, RAG, LLMs, and enterprise AI solutions.
Candidates with 1–6 years of experience and a B.E./B.Tech or M.E./M.Tech qualification can consider applying if they meet the required technical skills. Since the last date is mentioned as ASAP, interested applicants should complete the application process without waiting until the last minute.
FAQs for KPMG Recruitment 2026
1. What is the job role offered by KPMG?
KPMG is hiring for the Associate Consultant/Consultant – AI Engineering & Generative AI Solutions position.
2. What qualifications are required for KPMG Recruitment 2026?
Candidates should have a B.E./B.Tech or M.E./M.Tech degree in a relevant field.
3. How much experience is required?
The position requires candidates to have 1 to 6 years of relevant experience.
4. Where is the KPMG job located?
The job location for this position is Mumbai.
5. What are the key skills required for this role?
Candidates should have strong experience in Python, Generative AI, RAG, GraphRAG, Agentic AI, LangChain, LangGraph, PyTorch, FastAPI, and AI model optimization. Experience with enterprise AI deployments and related technologies will also be beneficial.
