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2 дня назад

Lead Forward Deployed AI Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Lead Forward Deployed AI Engineer (AI/GenAI): Building and deploying enterprise-scale AI solutions, including agentic AI systems, for clients across industries with an accent on LLMs, full-stack development, and scalable software architecture. Focus on architecting production systems, guiding non-technical stakeholders, leading AI engineering teams, and translating business challenges into commercially impactful technology.

Location: South Korea; travel based on client and business needs.

Company

BCG X is a technology and innovation unit within hirify.global that builds AI-powered products, services, and solutions for complex business and societal challenges.

What you will do

  • Architect, build, deploy, and scale AI and GenAI solutions, including agentic AI systems, for enterprise clients.
  • Apply software engineering practices to create robust, maintainable, and computationally efficient systems.
  • Partner with clients, consultants, AI scientists, engineers, designers, and vendors across industries.
  • Lead client engagements, project delivery, business development, and relationships with senior stakeholders.
  • Guide non-technical teams on software development practices and act as the interface between business and technology.
  • Develop thought leadership, contribute to scientific papers, lead conferences, and manage AI teams.

Requirements

  • Advanced degree or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience architecting and deploying enterprise-scale AI or GenAI solutions, including agentic AI systems.
  • Experience with large language models and platforms such as OpenAI, Anthropic, or open-source models.
  • Proficiency in Python and full-stack development with React, JavaScript, TypeScript, and CI/CD pipelines.
  • Experience managing relational, non-relational, and streaming data structures.
  • Strong leadership, project management, communication, and client-facing skills.

Nice to have

  • Experience deploying production systems on AWS, Azure, or GCP.
  • Experience across data engineering or modern full-stack development.

Culture & Benefits

  • Work with a diverse global team of more than 3,000 technology experts.
  • Collaborate with leading organizations across multiple industries and regions.
  • Participate in work addressing complex topics such as climate change.
  • Travel based on client and business needs.
  • Equal opportunity employment environment.

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