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Michael Page

Forward Deployed Engineer (FDE) - Enterprise AI Technology

Mid

Role Description

  • Global AI Technology company with multi-billion $ in valuation
  • Be a founding technical member in Indonesia as country launcher

About Our Client A rapidly scaling AI company is seeking a Forward Deployed Engineer (FDE) to work at the intersection of engineering, data, AI, and customer success. This is a unique opportunity to help leading enterprises transform their operations by deploying cutting-edge AI solutions into real-world business environments. The organization is backed by experienced technology leaders and is building advanced AI products that help enterprises automate workflows, augment decision-making, and unlock significant productivity gains.

Job Description This role is ideal for engineers who enjoy solving ambiguous problems, working closely with customers, and rapidly translating ideas into impactful solutions.Key Responsibilities

  • Partner with enterprise customers to identify high-value AI use cases and business opportunities.
  • Design, build, and deploy customized AI applications and workflows leveraging modern GenAI and machine learning technologies.
  • Work across the full deployment lifecycle, from discovery and solution design through implementation, testing, and rollout.
  • Collaborate closely with product, engineering, and leadership teams to influence product direction based on customer feedback.
  • Develop integrations with customer systems, databases, APIs, and business applications.
  • Drive adoption and ensure successful outcomes through technical consulting and hands-on problem solving.
  • Create scalable implementation patterns that can be replicated across customers and industries.

The Successful Applicant Candidate ProfileThe strongest candidates are intellectually curious, highly adaptable, and energized by working directly with customers to solve mission-critical business problems. They enjoy wearing multiple hats, navigating ambiguity, and turning emerging AI capabilities into tangible business value.Ideal BackgroundWe are interested in candidates who combine strong software engineering capabilities with exceptional customer-facing skills.

You May Come From Backgrounds Such As

  • Forward Deployed Engineer
  • Solutions Engineer
  • Solutions Architect
  • AI Engineer
  • Machine Learning Engineer
  • Product Engineer
  • Technical Consultant
  • Founder / Technical Co-Founder
  • Early-stage startup engineering leader

Preferred Qualifications

  • Strong software engineering fundamentals with experience in Python, TypeScript, JavaScript, Go, or similar languages.
  • Experience building and deploying AI, machine learning, data, or automation solutions.
  • Familiarity with LLMs, GenAI frameworks, AI agents, retrieval systems, vector databases, or related technologies.
  • Experience integrating APIs, enterprise applications, and cloud platforms.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Strong problem-solving skills and comfort working in highly ambiguous environments.
  • Entrepreneurial mindset with a bias toward action and ownership.

What's On Offer What Makes This Role Different

  • Direct exposure to enterprise AI transformation initiatives.
  • Opportunity to work alongside world-class AI practitioners and builders.
  • Significant ownership and influence over solution design and customer outcomes.
  • Fast-paced environment where technical excellence and creativity are highly valued.
  • High visibility with customers, leadership, and product teams.

Quote job ref: JN-102026-7138207

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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