AI Architect
The AI Architect designs and deploys enterprise AI solutions that align with business and technology goals. This role combines AI architecture leadership with hands-on engineering expertise to build secure scalable and cloud-based AI systems across multi-cloud environments.
Responsibilities
- Design and review AI solution architectures to ensure security scalability and compliance
- Provide technical leadership and architectural guidance for AI engineering initiatives
- Collaborate with Cloud Security DevOps and business teams to deliver AI solutions
- Deploy AI applications and services using Azure Kubernetes Service (AKS)
- Build scalable AI services APIs and deployment pipelines using Azure DevOps and APIM
- Optimize AI workloads across Azure and AWS environments
- Implement monitoring and performance optimization for AI applications and infrastructure
Required Qualifications
- 6 years of engineering or technology architecture experience
- Experience deploying generative AI applications into enterprise production environments
- Strong experience with Azure AWS AI/ML software engineering and data engineering
- Legally authorized to work in the United States
- High School Diploma or GED
Preferred Qualifications
- Bachelors degree in Computer Science AI Engineering or related field
- 10 years of engineering experience
- 5 years working with cloud technologies (Azure/AWS)
- 2 years in AI/ML architecture roles
- Experience with Databricks and Generative AI technologies
- Understanding of responsible AI AI ethics and secure API development
AI Architect The AI Architect designs and deploys enterprise AI solutions that align with business and technology goals. This role combines AI architecture leadership with hands-on engineering expertise to build secure scalable and cloud-based AI systems across multi-cloud environments. Responsibili...
AI Architect
The AI Architect designs and deploys enterprise AI solutions that align with business and technology goals. This role combines AI architecture leadership with hands-on engineering expertise to build secure scalable and cloud-based AI systems across multi-cloud environments.
Responsibilities
- Design and review AI solution architectures to ensure security scalability and compliance
- Provide technical leadership and architectural guidance for AI engineering initiatives
- Collaborate with Cloud Security DevOps and business teams to deliver AI solutions
- Deploy AI applications and services using Azure Kubernetes Service (AKS)
- Build scalable AI services APIs and deployment pipelines using Azure DevOps and APIM
- Optimize AI workloads across Azure and AWS environments
- Implement monitoring and performance optimization for AI applications and infrastructure
Required Qualifications
- 6 years of engineering or technology architecture experience
- Experience deploying generative AI applications into enterprise production environments
- Strong experience with Azure AWS AI/ML software engineering and data engineering
- Legally authorized to work in the United States
- High School Diploma or GED
Preferred Qualifications
- Bachelors degree in Computer Science AI Engineering or related field
- 10 years of engineering experience
- 5 years working with cloud technologies (Azure/AWS)
- 2 years in AI/ML architecture roles
- Experience with Databricks and Generative AI technologies
- Understanding of responsible AI AI ethics and secure API development
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