MA
Full time
🤖 AI / ML
AI Engineer (Lead Engineer, Generative AI & ML Engineering) at Mastercard
Listed by DevShelfHub
India
Hybrid
Mid-level · 2–5 yrs
About the Role
Mastercard's Business & Market Insights (B&MI) group transforms complex, multi-modal data into agentic systems and generative applications that drive measurable business outcomes. The company is hiring a Lead Engineer for Generative AI & ML Engineering within the Operational Intelligence Program.
This technical leadership role architects next-generation LLM, agentic, and multimodal AI systems at enterprise scale.
What you'll do
- Architect and lead development of multi-agent AI systems with autonomous reasoning and tool use
- Design multimodal generative AI pipelines using BERT, CLIP, LLaVA, T5, Whisper, GPT-4o, Gemini
- Build production RAG and Graph-RAG systems with vector databases and knowledge graphs
- Lead LLM fine-tuning, prompt engineering, and model alignment strategies
- Establish LLMOps and MLOps pipelines on Databricks using MLflow and feature stores
- Develop high-performance Python backend services for LLM inference orchestration
- Engineer state, memory, and context management for agent reasoning
- Implement Responsible AI and AI governance practices
- Apply traditional ML alongside LLMs for interpretable decision systems
- Research and productionize advancements in generative modeling and agentic AI
- Lead and mentor Gen AI engineers
What we're looking for
- Master's or Bachelor's in Computer Science, AI/ML, or Engineering
- Significant hands-on experience leading Gen AI or ML engineering programs in production
- Expert-level experience with LLM applications, agentic systems, and RAG pipelines
- Deep proficiency with OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph
Skills & Technologies
Required
Master's or Bachelor's in Computer Science, AI/ML, or Engineering
Significant hands-on experience leading Gen AI or ML engineering programs in production
Expert-level experience with LLM applications, agentic systems, and RAG pipelines
Deep proficiency with OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph
Gen AI patterns: prompt engineering, chain-of-thought, tool calling, vector embeddings
ML fundamentals: PyTorch, TensorFlow, predictive modeling, statistical techniques
Excellent Python engineering: async programming, FastAPI, inference microservices
SQL proficiency
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Lead a team building production-grade agentic and multimodal AI at global scale.
- Architect multi-agent AI systems using LangGraph, CrewAI, and AutoGen
- Design multimodal GenAI pipelines unifying text, image, tabular, and graph data
- Build production RAG and Graph-RAG with Pinecone, pgvector, Neo4j, AWS Neptune
- Lead LLM fine-tuning, RLHF, PEFT, LoRA, and instruction tuning
- Establish LLMOps/MLOps pipelines on Databricks (AWS) with MLflow
- Implement Responsible AI: bias detection, hallucination mitigation, explainability
- Lead a team of Gen AI engineers with engineering excellence culture
- Work with frontier models: GPT-4o, Gemini, LLaMA, Mistral, Falcon
- Hybrid architectures combining traditional ML with LLMs
- Global impact across 200+ countries
About Mastercard
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with customers, Mastercard helps build a sustainable economy where everyone can prosper. The Business & Market Insights group delivers unparalleled data-driven intelligence and cutting-edge AI solutions using proprietary data, frontier generative AI, and global expertise.
- Industry
- Technology
- Company Size
- 500+
- Website
- mastercard.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 2–5 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
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