- Location
- Not specified
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Education
- Master
- Closing date
- Apr 18, 2026
- Source
- CareersPage
Description
About the Role
We are hiring on behalf of our client - a fast-growing AI technology company transforming enterprise operations across procurement, inventory, manufacturing, and logistics in Asia.
As a Senior Forward Deployed Engineer, you will lead the technical delivery of real-world AI deployments. You'll work directly with enterprise customers to scope, build, and operationalise complex AI-powered systems using the company's flagship platform. This is a high-ownership, end-to-end engineering role - ideal for experienced engineers who thrive in ambiguity, want direct customer impact, and are ready to shape the future of intelligent enterprise systems.
Key Responsibilities
- Own customer engagements from discovery through deployment acting as the primary technical contact.
- Design and lead Proof-of-Concepts (POCs) and production deployments with clear success metrics.
- Integrate enterprise systems (e.g., ERPs, supply chain platforms) and build robust, scalable data pipelines.
- Design and customise intelligent agentic workflows for client-specific use cases.
- Deploy and optimise system performance in production environments, working closely with DevOps.
- Contribute to product engineering, surfacing client needs, improving core components, and writing production-grade code.
- Mentor junior FDEs and contribute to internal knowledge sharing across teams.
Requirements
Minimum Qualifications
- Bachelors or Masters in Computer Science, Engineering, or related field
4–8 years of experience in software or data engineering roles.
- Proven ability to deliver production systems in live customer environments.
- Strong software engineering fundamentals: design, testing, debugging, maintainability.
- Experience with APIs, data integration, and cloud platforms (AWS, GCP, or Azure).
- Able to operate independently in fast-paced, high-responsibility environments.
Preferred Skills
- Experience with enterprise systems (ERP, procurement, logistics, etc.).
Familiarity with AI/LLM agentic workflows or decision engines.
Knowledge of containerisation (Docker), Terraform, CI/CD pipelines (e.g., GitHub Actions).
- Strong client-facing communication and stakeholder management skills.
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Interest in mentoring and raising technical standards within the team.
