Artificial Intelligence Architect

Skill

Experience Required:

Location

Role Overview:

AI Architect

Key Responsibilities:

Strategy & Roadmap

• Define and drive the

  AI strategy

  , aligning with business goals and innovation priorities.
• Develop and maintain the

  AI solution roadmap

  , including short-term deliverables and long-term vision.
• Evaluate emerging AI trends and technologies to inform strategic direction.

Architecture & Design

• Architect end-to-end AI solutions using

  Gen AI

  ,

  Agentic AI

  ,

  LLMs

  , and

  multi-modal AI

  .
• Design intelligent agent systems using

  LangChain

  ,

  LangGraph

  ,

  Model Context Protocol (MCP)

  , and

  Agent to Agent Protocols

  .
• Establish scalable and modular AI architectures that support

  RAG pipelines

  ,

  Vector DBs

  , and

  Embeddings

  .
• Define and enforce

  AI governance frameworks

  , including

  Responsible AI

  ,

  GuardRails

  , and compliance with

  AI Ethics & Regulations

  .

Assessment & Optimization

• Conduct

  technical assessments

  of existing AI/ML systems, models, and data pipelines.
• Identify gaps, risks, and opportunities for modernization or enhancement.
• Recommend architectural improvements and integration strategies for legacy systems.

Must-Have Skills:

• Generative AI (Gen AI), Agentic AI
• AI Strategy, Architecture, and Roadmap Planning
• Python Programming
• AI Frameworks (LangChain, AutoGen, CrewAI and LangGraph)
• Model Context Protocol (MCP), Agent to Agent Protocol
• GuardRails, AI Ethics and Regulations
• Prompt Engineering, Responsible AI
• Distillation, RAG, Fine-tuning
• Multi-modal AI, LLMs
• Vector Databases, Embeddings
• GenAI deployment tools (Docker, Kubernetes)
• AI Solution Assessment and Optimization