AI Full stack Architect
Role: AI Full stack 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
Apply tot his job
Apply To this Job
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
Apply tot his job
Apply To this Job