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Lead Agentic AI Consultant

Формат работы
remote (только Colombia/Chile/Mexico)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Chile/Mexico/Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Agentic AI Consultant (AI/Cloud): Designing, validating, and delivering production-ready agentic AI ecosystems for enterprise-scale transformations with an accent on cloud AI architectures, AI governance, and full-lifecycle delivery. Focus on building multi-agent systems, RAG pipelines, orchestration workflows, and scalable MLOps practices across AWS, Azure, and GCP.

Location: Colombia, Chile, or Mexico; remote or office work

Company

hirify.global delivers engineering, consulting, and AI transformation services for enterprise clients through an AI and Data Science Center of Excellence.

What you will do

  • Lead AI engagements from discovery and strategy through architecture and implementation of production-ready agentic AI ecosystems.
  • Translate business and operational challenges into AI use cases, solution roadmaps, and reference architectures.
  • Design and validate cloud AI architectures using AWS, Azure, and GCP services.
  • Support proposals, GenAI workshops, proofs of concept, technical discovery, and solution positioning.
  • Advise organizations on AI governance, MLOps, model lifecycle management, scalability, observability, and deployment.
  • Mentor engineering and consulting teams while contributing to technical thought leadership and industry events.

Requirements

  • 6+ years of experience in AI consulting, Generative AI or Agentic AI development, machine learning, and deep learning.
  • Strong expertise in Generative AI and Agentic AI, with hands-on experience in Python and modern AI/ML ecosystems.
  • Experience designing AI agents, multi-agent systems, orchestration workflows, autonomous applications, RAG pipelines, tool calling, memory management, vector databases, and workflow automation.
  • Practical experience across experimentation, fine-tuning, optimization, deployment, inference, and monitoring.
  • Understanding of enterprise architecture, cloud computing, distributed systems, Big Data, SDLC, MLOps, and AI governance.
  • Strong stakeholder management, communication, analytical, and problem-solving skills; a technical degree is preferred.

Nice to have

  • Experience with PyTorch, TensorFlow, Pandas, NumPy, Hugging Face, LangChain, LangGraph, Semantic Kernel, or similar agentic AI frameworks.
  • Experience presenting to executives and supporting go-to-market initiatives and technical pre-sales engagements.

Culture & Benefits

  • Work within an AI and Data Science Center of Excellence comprising more than 170 experts.
  • Collaborate with enterprise clients, hyperscaler alliances, and cross-functional teams.
  • Contribute to production-focused AI transformations and measurable business outcomes.
  • Remote or office work options are available in the listed locations.

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