Enterprise Architect

TCS•McLean, VA
•Onsite

About The Position

We are seeking an experienced Enterprise Architect to create overarching solution architecture and define the vision for AI programs. This role requires specialization in large language models and frameworks, vector databases, and cloud deployments, as well as the implementation of Responsible AI techniques. The Enterprise Architect will also be involved in developing AI solutions, including requirements definition, design, cloud-native development, deployment, and integration, utilizing AI services from AWS, Azure, and Google Cloud.

Requirements

  • Expertise in AI specialization, particularly in large language models and frameworks.
  • Experience with vector databases and cloud deployments.
  • Experience developing solutions using languages like Python and C.
  • Understand deep learning concepts, autoencoders optimization, convolutional neural networks, and natural language processing (NLP).
  • Expertise in Python frameworks and UI frameworks.
  • Strong architectural experience.

Nice To Haves

  • Proficient in prompt engineering (Zero, One, few shot prompting, Chain of Thought) and prompt design.
  • Proficiency in prompt engineering, retrieval-augmented generation (RAG), agent-based approaches, multi-cloud platforms (MCP), automation-to-automation (A2A), and cloud solutions.

Responsibilities

  • 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.
  • Develop AI solutions, including requirements definition, design, cloud-native development, deployment, and integration.
  • 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.
  • Proficiency in prompt engineering, retrieval-augmented generation (RAG), agent-based approaches, multi-cloud platforms (MCP), automation-to-automation (A2A), and cloud solutions.
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