Data stays where it belongs
Private deployment, data residency, least-privilege access to internal systems.
Forward Deployed Engineers, Hong Kong
AI is moving Into the workflow.
It is no longer an experiment. It is the direction of travel.
Across every industry, companies are taking AI out of the pilot and into daily operations.
Why it is hard
The market is already moving
800%
Growth in FDE job postings, Jan–Sep 2025
Indeed
7,300+
US FDE job postings in the first nine months of 2026, up from under 200 in all of 2023
CNBC
$9B+
Committed by Big Tech to forward-deployed engineering in 2026
AWS, Microsoft, Google Cloud, OpenAI, AnthropicThe gap
The models are ready.The people are not.
Today's models and tools can already handle most of what a business needs. What is missing is the person who can put them to work: someone with broad general knowledge, real domain expertise, a clear sense of where AI works and where it does not, and the engineering to deliver it into production.
Broad knowledge
Sees the whole business, not one system. Connects operations, finance, customers and technology.
Domain expertise
Speaks the language of the industry: the workflows, the exceptions, the numbers that matter.
Where AI stops
Knows what models do well, where they fail, and when a person must stay in the loop.
Engineering delivery
Turns a pilot into a production system: secure, tested, monitored and running inside real workflows.
Data & compliance
More important still:data and compliance.
AI only creates value once it touches real enterprise data and internal systems, and that is exactly where the risk lives. The people you need understand how your data is organised, who may access it and what the rules require, before a single line of code ships.
Every decision is traceable
An audit trail for every AI action; models and prompts under version control.
People make the final call
High-risk actions stay with people. AI prepares; people decide.
Compliance by design
Privacy law such as Hong Kong's Personal Data (Privacy) Ordinance, plus industry rules, built in from day one.
What is an FDE
The Forward Deployed Engineerbrings it all together.
A Forward Deployed Engineer works inside the business, builds production AI systems into real workflows, and is accountable for the business outcome rather than the lines of code. Then hands the capability over to your team.
- Broad knowledge
- Domain expertise
- Where AI stops
- Engineering delivery
- Data & compliance
FDE
Enterprise needs
What every enterprise needs from AI.
Whatever the industry, AI work lands on the same set of foundations. An FDE runs through each of them, turning every need into a working workflow.
Agents that answer, look up orders and resolve requests, handing complex cases to people.
Customer service
Telecom | Public services
Policies, manuals and records answered in seconds, with the source cited.
Knowledge & search
Legal | Pharma
Contracts, medical records and reports read, checked and drafted.
Document processing
Insurance | Healthcare
Demand, load and risk forecasts that feed real decisions.
Analytics & forecasting
Retail | Utilities
Agents that run rule-based operations end to end, with people supervising.
Workflow automation
Logistics | Professional services
Anti-money-laundering, fraud screening and compliance checks that are fully auditable.
Risk & compliance
Banking | Securities
Visual inspection on the line and predictive maintenance in the field.
Quality & operations
Manufacturing | Energy
Connecting ERP, CRM and operational systems so agents can act, not just answer.
Systems integration
Enterprise IT | Transport
Product copy, campaign assets and personalised recommendations at scale.
Content & marketing
Media | E-commerce
Talent
FDEHK.COM:the people enterprises need.
FDEHK.COM brings together the people and the practice an enterprise needs to put AI to work responsibly, from the first use case to the rules that govern it.
Govern
AI governance, risk & responsible AI
Governance frameworks, risk assessment and human oversight, so every AI system has an owner, clear limits and an audit trail.
Prove
AI use cases
Find the use cases worth doing, prove the value with a measurable pilot, then scale what works.
Including regulation
Data governance, privacy & regulatory compliance
Data classification, access control and privacy by design, aligned with the Personal Data (Privacy) Ordinance and the rules of your sector.
Enable
Training & service
Training that builds these capabilities inside your team, and service that delivers alongside it.
Including regulation.
Regulation is part of the job, not an afterthought. Every engagement accounts for the rules that apply to you, from privacy law to the requirements of your sector regulators, before anything goes live.
For enterprises
Looking for FDE talent, or a first FDE-led project?
Tell us about the workflow you want AI in.
Get in touch