- Location
- Singapore
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Master
- Closing date
- Today
- Source
- CareersPage
Description
Our client is launching their Agentic Development practice in Singapore. This is a Day 1, market-creation hire. Most enterprise teams in Singapore are experimenting with AI coding assistants. Very few have made the jump to a true agentic lifecycle - where agents are orchestrated to own planning, implementation, testing, review and release as part of the engineering team.
We are hiring a Senior Forward Deployed Engineer to be that bridge. You will be deployed inside enterprise engineering orgs, prove what's possible in 30 days, and then scale it org-wide.
Payroll, benefits and compliance for this role will be managed by EOR partner in Singapore. Your day-to-day mission, clients, and technical mandate will come directly from the client.
What You'll Own
1. Client Transformation - From Pilot to Scale
You are the field lead. You will run discovery, map the client's current SDLC, identify high-ROI agentic opportunities, and run focused 4-week pilots with their engineers. Your goal is to convert pilots into multi-team transformation programs and become the trusted advisor to their CTO / VP Eng.
2. Build The Agentic Operating Model
You will design how agents actually work in an enterprise:
- Build reusable orchestration layers - AGENTS.md, rules, skills, sub-agents, hooks, background / cloud agents
- Create synchronous and asynchronous workflows that take toil away from humans - backlog triage, test generation, migration scripts, dependency upgrades
- Connect agents to the enterprise - MCP servers, SDKs, internal APIs, Jira / GitHub / CI systems
- Extend beyond engineering into Product, Design, QA and PM to close the loop
3. Make It Enterprise-Ready
Enterprises don't scale what they don't trust. You will:
- Put guardrails in place - AI code review, security scanning, policy checks, eval harnesses
- Run pragmatic model and tool evaluations - what model for what task, cost vs. quality trade-offs
- Define metrics that matter - adoption, cycle time, review time, defect rate - and report them to leadership to drive expansion
What Success Looks Like in 6 Months
- 2-3 enterprise pilots delivered in Singapore and converted into expansion
- A Singapore-specific ADLC playbook that other FDEs can reuse
- Reference architectures, demos and case studies that unblock the sales cycle
Who You Are
- Builder first. You've been an engineer for 8-12 years and you are hands-on every day.
- Field proven. 2-5 years in a client-facing technical role - Forward Deployed, Solutions Engineering, DevRel, or Tech Consulting. You are comfortable whiteboarding with engineers in the morning and presenting ROI to a CTO in the afternoon.
- Agentic native. For the last 1-3 years, agentic tools have been your default way of building, not a side project. You have opinions on agent design that come from real enterprise use.
- 0-to-1 mindset. You know how to create structure when there is no playbook, no big team, and no existing brand in the market.
- Commercially sharp. You know how to turn a good technical outcome into a business case for expansion.
Technical Bar
- Expert-level with modern agentic IDEs - agent modes, cloud agents, context / rules management
- Agent orchestration patterns - skills, sub-agents, hooks, tool use
- MCP and SDK-based integrations
- Strong software fundamentals in at least two stacks - TypeScript / Node, Python, Java, Go, or Mobile
- Fluent in Git workflows, CI/CD, testing strategies, and where agents add leverage in each
- Solid grasp of LLM mechanics - context engineering, prompt design, model routing, evals, cost optimization
- Bonus: Experience with enterprise rollout of dev tools - SSO, usage analytics, spend controls, data governance
Employment Details
- Hiring Model: Full-time employee hired through a Singapore EOR
- Payroll: Salary in SGD, statutory benefits, leave, handled by EOR