Artificial Intelligence Architect - LLM Models

Description :

Job Summary :

We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale AI and ML solutions. The ideal candidate will architect end-to-end AI systems, integrate LLMs and GenAI capabilities, define data and model pipelines, and guide engineering teams in delivering production-ready AI solutions. This role requires deep technical expertise, strong architectural leadership, and hands-on experience with cloud-based AI platforms.

Key Responsibilities :

- Architect, design, and deliver enterprise AI/ML solutions across cloud and on-premise environments.

- Lead solution design for LLMs, Generative AI, NLP, RAG pipelines, and agent-based AI systems.

- Define AI architecture blueprints, model lifecycle workflows, and integration patterns.

- Oversee data ingestion, feature pipelines, vector search, and model deployment workflows.

- Evaluate and select AI frameworks, libraries, cloud services, and MLOps tools.

- Collaborate with data engineering, product, and platform teams to ensure scalable and secure AI systems.

- Guide teams in implementing MLOps, CI/CD for ML, monitoring, and observability.

- Conduct architecture reviews, ensure adherence to standards, and manage governance requirements.

- Develop POCs, reference architectures, and reusable AI components.

- Drive best practices for responsible AI, model transparency, and data privacy.

Role Requirements and Qualifications:

- 12+ years of experience in AI/ML engineering, data engineering, or solution architecture.

- Strong hands-on expertise in Python, ML frameworks (TensorFlow, PyTorch), and LLM/GenAI ecosystems.

- Experience designing RAG, embeddings, vector databases, and LLM-powered applications.

- Strong understanding of cloud AI services (AWS, Azure, GCP).

- Experience with MLOps, CI/CD for ML, Model Registry, monitoring, and deployment pipelines.

- Understanding of security, compliance, and architectural governance.

- Excellent communication and stakeholder-management skills.

Preferred Skills :

- Experience with agent frameworks (LangChain, AutoGen, CrewAI).

- Familiarity with Databricks, Spark, and large-scale data processing.

- Experience with knowledge graphs or enterprise search systems.

- Understanding of microservices, API gateways, and system integration patterns.