onsite
Agentic AI Architect - Capgemini
Software Engineer
Lead the design and deployment of enterprise‑scale agentic AI systems, integrating large language models, multi‑agent frameworks, and cloud platforms to deliver secure, high‑performance solutions.
About the role
Key Responsibilities
- Architect end‑to‑end agentic AI solutions using LLMs and multi‑agent frameworks across Microsoft Azure and Google Cloud Platform.
- Define and enforce security, governance, and compliance standards for AI deployments.
- Collaborate with data, engineering, and product teams to translate business requirements into scalable AI pipelines.
- Implement MLOps/LLMOps practices, ensuring continuous integration, deployment, and monitoring of AI models.
- Optimize performance and cost efficiency of AI workloads through architecture tuning and resource management.
Requirements
- Extensive experience designing and deploying large‑scale AI/ML systems with LLMs and multi‑agent architectures.
- Proficiency in Python, Azure, GCP, and MLOps/LLMOps toolchains.
- Strong background in AI security, governance, and regulatory compliance.
- Excellent communication skills and ability to lead cross‑functional technical teams.