Back to Job Portal
K

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
Applying to this role?

Book a mock interview matched to your skills and get a written scorecard before the real thing.

Book interview prep