Expleo - Agentic AI Architect - LLM

Description :

Experience : 10 to 15 years

Location : Pune

Overview :

Key Responsibilities :

- Design system-level LLMOps and MLOps frameworks (model lifecycle, retraining, observability, feedback loops).

- Establish CI/CD, monitoring, and scalability strategies for AI microservices.

- Define model optimization pipelines (quantization, distillation, pruning, caching).

- Integrate MLflow and Vertex AI for experiment tracking and production deployment.

- Drive cloud infrastructure strategy compute scaling, GPU optimization, container orchestration.

- Ensure AI safety, interpretability, and compliance across models and agents.

Qualifications : BTech, BE, MCA

Essential skills :

Core Skills :

- MLOps / LLMOps : MLflow, Vertex AI Pipelines, Weights & Biases, model monitoring.

- DevOps Infrastructure : Kubernetes, Docker, Terraform, Jenkins, GCP/AWS CI/CD.

- Optimization Techniques : Finetuning (LoRA, QLoRA), model quantization, distillation, caching.

- System Design : Scalable APIs, message queues, observability, and fault tolerance.

- Programming : Python

- Cloud Platforms : Google Cloud (Vertex AI), AWS, or Azure.

Desired skills :

- Strong understanding of AI safety, governance, and trust frameworks.

- Experience implementing MCP, multi-agent orchestration, or custom reasoning layers.

- Poven success in leading enterprise-scale AI transformation initiatives.