Enterprise Architect

Overview:

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.