Job Title: Manager - Agentic Development Practice Area: Advisory Digital Geo Location: India, KGS The fastest growing Big Four professional services firm in the U.S., KPMG is known for being a great place to work and bui…
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Full-time
bachelor degree
Posted 10d ago
Apply by Aug 31
~40 hrs/week
Responsibilities
Lead the development of agentic systems and multi-agent ecosystems that drive business outcomes with human-in-the-loop oversight. Oversee the end-to-end SDLC of AI-native applications while mentoring a team of AI engineers.
Requirements
Requires over 10 years of software engineering experience with at least 4-5 years in AI/ML and 1-2 years in Generative AI. Candidates must have hands-on expertise with frameworks like LangGraph, AutoGen, and RAG architectures.
Full job description
Job Title: Manager - Agentic Development
Practice Area: Advisory Digital
Geo Location: India, KGS
The fastest growing Big Four professional services firm in the U.S., KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today’s most important industries. Our growth is driven by delivering real results for our clients. It’s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it’s no wonder we’re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you’re as passionate about your future as we are, join our team.
Role and Responsibilities
Lead the development of agentic systems that are more than just wrappers for LLM models—systems that actively drive business outcomes with human-in-the-loop oversight
Design and develop Multi-Agent Ecosystems where multiple specialized agents collaborate to solve complex problems using frameworks like LangGraph, or AutoGen
Define "Agentic Thinking" and instill a mindset in the team where we build for Goals, not just Tasks.
Lead the adoption of standardized protocols to connect AI assistants to our internal data and tools securely.
Take ownership of full stack application development and oversee the end-to-end SDLC of AI-native applications.
Incorporate human-in-the-loop design by developing UX/UI patterns wherein agents integrate seamlessly with outlined processes, operate autonomously up to a specified confidence threshold, and then gracefully hand off tasks for human approval
Develop robust evaluation & Observability metrices to measure Agent Success Rate, Steps-to-Solution, and Cost-per-Task.
Work closely with the business leads / designates to define workflows and be assertive enough to ensure we use the right tools for right outcomes instead of one size fits all kind of approach
Mentor and develop a team of AI engineers who understand vector stores, RAG, and prompt orchestration.
Essential skills required
10+ Years of Experience in software engineering, with at least 4-5 years focused on AI/ML and 1-2 years specifically in Generative AI/Agentic workflows.
Hands-on expertise with LangGraph, CrewAI, AutoGen, or LlamaIndex for multi-step reasoning and orchestration.
Deep understanding of RAG (Retrieval-Augmented Generation), context engineering, and long-term memory design for agents.
Strong command of Python, vector databases (Pinecone, Weaviate, etc.), and cloud AI platforms (Azure AI Foundry)
Experience with evaluation frameworks like LangSmith or Arize Phoenix to monitor agent performance, drift, and cost.
Background in leading AI pods or CoEs for internal tools, with skills in Java, data engineering, and cross-functional collaboration.
Ability to articulate technical solutions to stakeholders and drive innovation in agentic systems for SDLC optimization
Exceptional communication and interpersonal skills, with the ability to collaborate effectively with diverse, cross-functional teams.
Related keywords
AI Application DevelopmentAgentic SystemsLLMLangGraphAutoGenMulti-Agent EcosystemsRAGPythonVector DatabasesPineconeWeaviateAzure AI FoundryLangSmithArize PhoenixJavaData Engineering
KPMG in India including KPMG Global Services (KGS). Connect with us at http://social.kpmg/contactus
Industry
Business Consulting and Services
Company size
10,001+ employees
Headquarters
Gurugram, Haryana
LinkedIn followers
3,686,107
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients.
Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
Offices: Building No. 10, 8th Floor, Tower B,, DLF Cyber City, Phase II, Gurugram, Haryana 122002, IN
How many Consulting jobs are open in Gurgaon, India right now?
There are currently 1,616 open consulting positions in Gurgaon, India listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Consulting roles in Gurgaon, India?
Companies currently hiring include Genpact, EY, KPMG India, Boston Consulting Group (BCG), Ramboll, among others. Browse the listings above to see every active employer.
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