Manager – AI Engineer, Advisory

Overview

Manager – AI Engineer in PwC's Advisory line of service, Data, Analytics & AI specialism, designing and operating ML and LLM systems for clients.

What you'll do

• Design ML pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inferencing at scale.
• Architect distributed training and serving of large language models, using model and data parallel training with frameworks such as DeepSpeed and service frameworks such as vLLM.
• Fine-tune and optimise models to achieve better latencies and accuracies and to reduce training and resource requirements for LLM and LVM models.
• Apply DevOps and LLMOps practices, including Kubernetes, Docker and container orchestration.
• Work with LLM orchestration frameworks such as Flowise, Langflow and Langgraph.

What you'll need

• Bachelor of Technology degree, or MCA, BCA or M.Tech (degree and field of study as listed in the ad).
• 5 to 10 years of years of experience (the ad states 5-8 years and 5 to 10 years).
• Mandatory skills: Gen AI, LLM, Hugging Face, Python, PyTorch/TensorFlow/Keras, LangChain, LangGraph, Docker, Kubernetes.
• Proven expertise with MLflow, SageMaker, Vertex AI and Azure AI.
• Deep knowledge of GPU architectures.
• Expertise in distributed training and serving of large language models.
• Proven expertise in model fine-tuning and optimisation techniques.
• Proven expertise in DevOps and LLMOps practices.
• Required skill: Project Management.

Nice to have

• Cloud certifications (bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert.

Details

• Location: Chennai - Menon Eternity.
• Visa sponsorship: No.
• Government clearance required: No.
• Job posting end date: September 20, 2026.