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6 дней назад

Director, Forward Deployed Engineering (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
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
Director, Forward Deployed Engineering (AI): Building and leading delivery of production AI systems for client engagements with an accent on LLMs, agentic workflows, and hands-on engineering leadership. Focus on translating ambiguous business problems into production solutions, designing reusable delivery practices, and guiding architecture, evaluation, and enterprise implementation.

Location: Remote in LATAM or the US

Company

Data, AI, and digital engineering consultancy certified across Microsoft, Anthropic, and Databricks, delivering working AI systems for organizations.

What you will do

  • Hire, coach, and grow forward deployed engineers while setting standards for technical quality, client communication, and ownership.
  • Own scope, quality, timelines, and outcomes across multiple concurrent client engagements.
  • Lead client demos, architecture sessions, and delivery workshops focused on Claude Code and Claude Cowork in client environments.
  • Prototype, review designs, and unblock the team on agentic workflows, tool use, MCP integrations, and evaluation.
  • Identify expansion opportunities, partner with account leadership on new scopes, and build reusable patterns, accelerators, and playbooks.
  • Collaborate with data, cloud, and digital engineering teams to deliver end-to-end outcomes.

Requirements

  • 15+ years of software engineering experience and 5+ years leading engineers or technical teams.
  • Client-facing delivery experience in consulting, solutions engineering, or forward deployed work.
  • Hands-on experience building with LLMs and agentic patterns, including tool use, RAG, workflow orchestration, and evaluation.
  • Strong Python or TypeScript skills, plus solid API design, CI/CD, and cloud fundamentals in Azure, AWS, or GCP.
  • Ability to explain complex technical ideas clearly to executives and engineers.
  • Track record of taking ambiguous problems to production.

Nice to have

  • Hands-on experience with Claude Code, Claude Cowork, the Anthropic API, or the Model Context Protocol.
  • Experience with AI governance, security, and responsible-use practices in enterprise settings.
  • Background in data science or formal engineering training.
  • Experience in a consulting or professional services environment.

Culture & Benefits

  • Ownership of outcomes rather than only tasks.
  • Curiosity, courage, and willingness to challenge assumptions constructively.
  • Coaching mindset focused on growing people and sharing credit.
  • Adaptability as tools change frequently, with a pragmatic focus on shipping what works.
  • Remote work available in LATAM or the US.

Hiring process

  • 30-minute recruiter interview.
  • Two 45-minute technical interviews.
  • Final interview with the VP of AI Applied Solutions.

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