обновлено 5 дней назад
Lead Agentic AI Consultant
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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