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AI Strategist / Architect (AWS AI Lab Setup & Design)

Roles & Responsibilities

  • Strong experience in AI/ML architecture and solution design
  • Hands-on experience with large language models (LLMs) and generative AI architectures
  • Expertise in RAG (Retrieval-Augmented Generation), vector databases, and AI pipelines
  • Proven experience designing scalable AI platforms on AWS

Requirements:

  • Define and lead the AI architecture roadmap for the AI Lab, translating business requirements into AI-driven technical solutions
  • Design scalable AI solutions including university recommendation systems, application scoring models, and document intelligence/automation
  • Establish AI standards, governance, frameworks, and best practices; ensure AI systems are secure, scalable, and production-ready
  • Provide technical leadership and mentorship to AI engineers while collaborating with cross-functional teams to align AI initiatives with business goals

Job description


Role Overview
We are seeking an experienced AI Strategist / Architect with strong expertise in the AWS platform and a proven track record in designing and establishing AI labs on AWS.
 

This role will be responsible for leading AI strategy, architecture, and governance, while designing scalable AI solutions to support areas such as student application journeys, university matching, document intelligence, and AI-driven advisory services. The ideal candidate will bring a balance of strategic vision and hands-on architectural expertise.


Key Responsibilities

  • Define and lead the AI architecture roadmap for the AI Lab
  • Design scalable AI solutions, including:
    • University recommendation systems
    • Application scoring models
    • Document intelligence and automation
  • Establish AI standards, frameworks, and best practices
  • Translate business requirements into AI-driven technical solutions
  • Provide technical leadership and mentorship to AI engineers
  • Ensure AI systems are secure, scalable, and production-ready
  • Define and enforce AI governance, model evaluation, and responsible AI practices
  • Collaborate with cross-functional teams to align AI initiatives with business goals
  • Contribute as both a strategic advisor and hands-on architect


Mandatory Skills

  • Strong experience in AI/ML architecture and solution design
  • Hands-on experience with large language models (LLMs) and generative AI architectures
  • Expertise in RAG (Retrieval-Augmented Generation), vector databases, and AI pipelines
  • Proven experience designing scalable AI platforms on AWS (required)
  • Strong knowledge of data architecture, model lifecycle management, and MLOps frameworks
  • Ability to translate complex business requirements into effective AI solutions
  • Experience with AI governance, model evaluation, and responsible AI practices


Nice-to-Have Skills

  • Experience in EdTech or student admissions platforms
  • Knowledge of AI-powered recommendation systems
  • Experience with document AI and intelligent document processing
  • Familiarity with AI copilots and conversational AI platforms
  • Exposure to enterprise AI platforms and low-code AI frameworks


Deliverables

  • Process flow documentation
  • Knowledge transfer and mentoring for client teams
  • Contribution to all assigned project deliverables
  • Participation in data conversion and maintenance activities
  • Delivery of best practices and innovative AI solutions
  • Active participation as a core team member

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