AI Engineer Standard II
Mindlance · Posted Nov 10, 2026
- Washington, District of Columbia, United States
- 6+ years
Designs, builds, and operates secure, scalable AI systems focusing on Retrieval-Augmented Generation pipelines, agentic AI, and enterprise-grade service delivery across Azure and AWS.
Responsibilities
- Architect and implement AI solutions
- Integrate and operate AI infrastructure
- Develop and manage data pipelines
- Build agentic AI solutions
- Model evaluation and optimization
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science
- Nice to have: Microsoft Certified: Azure AI Engineer Associate
- Nice to have: Microsoft Certified: Azure Data Scientist Associate
- Nice to have: Microsoft Certified: Azure Solutions Architect Expert
- Nice to have: Microsoft Certified: Azure Developer Associate