Enterprise Architect
Posted Updated 5
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Description
Role: Enterprise Architect - onsite
Skills: Python
Description:
AI Architect
- Create overarching solution architecture.
- Define the vision for AI programs with extensive experience.
- Establish AI standards and guidelines for the enterprise.
- Specialize in large language models and frameworks, vector databases, and cloud deployments.
- Implement Responsible AI techniques, including strategy and execution.
Skills
- Expertise in AI specialization, particularly in large language models and frameworks.
- Experience with vector databases and cloud deployments.
AI Engineer
- Develop AI solutions, including requirements definition, design, cloud-native development, deployment, and integration.
- Experience developing solutions using languages like Python and C.
- Develop AI applications utilizing AI services from AWS, Azure, and Google Cloud.
- Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design.
- Understand deep learning concepts, autoencoders optimization, convolutional neural networks, and natural language processing (NLP).
- Proficiency in prompt engineering, retrieval-augmented generation (RAG), agent-based approaches, multi-cloud platforms (MCP), automation-to-automation (A2A), and cloud solutions.
- Expertise in Python frameworks and UI frameworks.
- Strong architectural experience.
Skills: Python
Description:
AI Architect
- Create overarching solution architecture.
- Define the vision for AI programs with extensive experience.
- Establish AI standards and guidelines for the enterprise.
- Specialize in large language models and frameworks, vector databases, and cloud deployments.
- Implement Responsible AI techniques, including strategy and execution.
Skills
- Expertise in AI specialization, particularly in large language models and frameworks.
- Experience with vector databases and cloud deployments.
AI Engineer
- Develop AI solutions, including requirements definition, design, cloud-native development, deployment, and integration.
- Experience developing solutions using languages like Python and C.
- Develop AI applications utilizing AI services from AWS, Azure, and Google Cloud.
- Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design.
- Understand deep learning concepts, autoencoders optimization, convolutional neural networks, and natural language processing (NLP).
- Proficiency in prompt engineering, retrieval-augmented generation (RAG), agent-based approaches, multi-cloud platforms (MCP), automation-to-automation (A2A), and cloud solutions.
- Expertise in Python frameworks and UI frameworks.
- Strong architectural experience.