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Senior AI Engineer- Consultant
KPMG
· Bangalore, Karnataka, India
Posted August 5, 2026 via KPMG
Job Title: Senior AI Engineer
Location: Bengaluru/ Pune/ Gurgaon
Experience: 4+ years
Employment Type: Full-time
________________________________________
About the Role
We are looking for an experienced and innovative Senior AI Engineer to lead the design and development of advanced AI solutions. This role involves driving complex projects, mentoring junior engineers, and ensuring best practices in AI engineering. The ideal candidate will have deep expertise in Generative AI, RAG-based solutions, and cloud-native AI development, with strong problem-solving skills and a passion for building scalable, secure, and intelligent systems.
________________________________________
Educational Qualifications
Bachelor’s Degree in a technical or quantitative field from an accredited institution.
Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred.
________________________________________
Must-Have Skills and Experience
Generative AI & Advanced AI Engineering
Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
Hands-on experience with LLM-based solutions and Generative AI frameworks
Cloud AI Development
Proven experience developing & deploying AI/ML solutions on Azure
Knowledge of cloud-native architectures and MLOps pipelines
Core AI & Data Science
Strong mathematical and algorithmic foundation
Proficiency in Python, SQL, and enterprise-grade AI tools
Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
Familiarity with NLP, transformer architectures, and model optimization
________________________________________
Good-to-Have Skills
Agentic AI & Automation
Autonomous Agent Development and multi-agent orchestration
Workflow automation for intelligent systems
LLMOps, fine-tuning foundation models
Development of multi-modal AI applications (text, image, audio)
________________________________________
Leadership & Collaboration
Ability to mentor junior engineers and contribute to architectural decisions
Experience working in agile, cross-functional teams
Strong stakeholder management and solution-oriented mindset
________________________________________
What We Offer
Opportunity to lead cutting-edge AI projects across industries like Finance, Healthcare, Automotive, Retail, and Manufacturing
A collaborative and inclusive work culture
Continuous learning and career advancement opportunities
Job Title: Senior AI Engineer
Location: Bengaluru/ Pune/ Gurgaon
Experience: 4+ years
Employment Type: Full-time
________________________________________
About the Role
We are looking for an experienced and innovative Senior AI Engineer to lead the design and development of advanced AI solutions. This role involves driving complex projects, mentoring junior engineers, and ensuring best practices in AI engineering. The ideal candidate will have deep expertise in Generative AI, RAG-based solutions, and cloud-native AI development, with strong problem-solving skills and a passion for building scalable, secure, and intelligent systems.
________________________________________
Educational Qualifications
Bachelor’s Degree in a technical or quantitative field from an accredited institution.
Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred.
________________________________________
Must-Have Skills and Experience
Generative AI & Advanced AI Engineering
Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
Hands-on experience with LLM-based solutions and Generative AI frameworks
Cloud AI Development
Proven experience developing & deploying AI/ML solutions on Azure
Knowledge of cloud-native architectures and MLOps pipelines
Core AI & Data Science
Strong mathematical and algorithmic foundation
Proficiency in Python, SQL, and enterprise-grade AI tools
Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
Familiarity with NLP, transformer architectures, and model optimization
________________________________________
Good-to-Have Skills
Agentic AI & Automation
Autonomous Agent Development and multi-agent orchestration
Workflow automation for intelligent systems
LLMOps, fine-tuning foundation models
Development of multi-modal AI applications (text, image, audio)
________________________________________
Leadership & Collaboration
Ability to mentor junior engineers and contribute to architectural decisions
Experience working in agile, cross-functional teams
Strong stakeholder management and solution-oriented mindset
________________________________________
What We Offer
Opportunity to lead cutting-edge AI projects across industries like Finance, Healthcare, Automotive, Retail, and Manufacturing
A collaborative and inclusive work culture
Continuous learning and career advancement opportunities
Data Science: Associate Consultant
Experience: 3+ years
Requirement:
Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Must-Have Skills and Experience
Generative AI & Advanced AI Engineering
Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
Hands-on experience with LLM-based solutions and Generative AI frameworks
Cloud AI Development
Proven experience deploying AI/ML solutions on Azure
Knowledge of cloud-native architectures and MLOps pipelines
Core AI & Data Science
Strong mathematical and algorithmic foundation
Proficiency in Python, SQL, and enterprise-grade AI tools
Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
Familiarity with NLP, transformer architectures, and model optimization
________________________________________
Good-to-Have Skills
Agentic AI & Automation
Autonomous Agent Development and multi-agent orchestration
Workflow automation for intelligent systems
LLMOps, fine-tuning foundation models
Development of multi-modal AI applications (text, image, audio)
________________________________________
Leadership & Collaboration
Ability to mentor junior engineers and contribute to architectural decisions
Experience working in agile, cross-functional teams
Strong stakeholder management and solution-oriented mindset