Role: AI Architect
Location: Remote
AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives.
Job Description
- Design and lead AI architecture for business use cases
- Define the right AI approach across machine learning and Generative AI initiatives
- Establish architecture standards reusable patterns and best practices for AI development
- Guide integration of AI models into applications and enterprise systems
- Lead development deployment monitoring and continuous improvement of AI solutions
- Ensure AI solutions are secure scalable reusable and aligned with governance standards
- Work closely with business engineering and data teams to deliver practical AI solutions
- Provide technical leadership and guidance across AI initiatives
- Recommend tools platforms and best practices for AI development
Skills / Requirements:
- Experience with AI/ML and Generative AI including LLMs prompting orchestration and evaluation
- Ability to design scalable reusable AI architectures
- Applied machine learning knowledge (model selection training tuning)
- Strong understanding of machine learning concepts and model lifecycle
- Proficiency in Python for AI/ML solution development
- Experience integrating AI models through APIs and enterprise systems
- Experience with cloud-based AI platforms and services
- Familiarity with MLOps AI governance and platforms such as Azure AWS or Google Cloud
Role: AI Architect Location: Remote AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. Job Description Design and lead AI architecture for business use cases Define the right AI approach across machine learning and Generative AI initiativ...
Role: AI Architect
Location: Remote
AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives.
Job Description
- Design and lead AI architecture for business use cases
- Define the right AI approach across machine learning and Generative AI initiatives
- Establish architecture standards reusable patterns and best practices for AI development
- Guide integration of AI models into applications and enterprise systems
- Lead development deployment monitoring and continuous improvement of AI solutions
- Ensure AI solutions are secure scalable reusable and aligned with governance standards
- Work closely with business engineering and data teams to deliver practical AI solutions
- Provide technical leadership and guidance across AI initiatives
- Recommend tools platforms and best practices for AI development
Skills / Requirements:
- Experience with AI/ML and Generative AI including LLMs prompting orchestration and evaluation
- Ability to design scalable reusable AI architectures
- Applied machine learning knowledge (model selection training tuning)
- Strong understanding of machine learning concepts and model lifecycle
- Proficiency in Python for AI/ML solution development
- Experience integrating AI models through APIs and enterprise systems
- Experience with cloud-based AI platforms and services
- Familiarity with MLOps AI governance and platforms such as Azure AWS or Google Cloud
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