Position Details
About this role
Senior AI Architect/Engineer leading enterprise AI initiatives, architecting Generative and Agentic AI solutions, and building scalable MLOps pipelines in cloud-native environments. Focus areas include RAG pipelines, embeddings, and secure data governance.
Key Responsibilities
- Architect AI Agents that use Tools and Skills including MCP clients and servers
- Architect scalable end-to-end Retrieval-Augmented Generation (RAG) pipelines
- Performance optimization: model serving layers and high-throughput data processing
- System Architecture & Security: secure architectures with data governance and PII filtering
- Infrastructure Automation & CI/CD: Terraform provisioning and Azure infra-as-code with centralized observability
Technical Overview
Stack emphasizes Python, SQL, Polars, Terraform on Azure with Azure OpenAI, Gemini embeddings, vector databases, NoSQL, Docker, Airflow; includes MLOps, CI/CD, SAFe, and ERP integrations (IFS Cloud).
Ideal Candidate
The ideal candidate is a senior AI architect/engineer with 8+ years of experience in generative AI, retrieval-augmented generation, and cloud-native AI systems. They are proficient in Python, SQL, Azure, and vector databases, with hands-on MLOps, multi-agent frameworks, and scalable RAG pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not authorized to work in the United States, No visa sponsorship, Lack of 8+ years of relevant experience
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