Careers at Lawnise
Build the independent verification layer for AI
AI is beginning to act inside enterprises and speak for them outside their walls. Lawnise is building the independent infrastructure needed to verify both—with evidence that can be examined, challenged and acted on.
The mandate
AI needs more than another layer of claims
Enterprises are being asked to trust AI systems they deploy, answers they did not author and providers they do not control. Governance policies matter, but policy alone cannot establish what an AI system actually said, why it said it or whether the answer can be defended.
Lawnise exists to create independent verification between AI assertions and enterprise truth. We examine the AI an organisation operates and the public AI that represents it, compare behaviour with authoritative sources and preserve findings in a form that risk, compliance, security and leadership teams can scrutinise.
This work joins software engineering, assurance, security and domain judgement. It is infrastructure work with institutional consequences.
Why Lawnise
Help define a category—and the standard behind it
Independent AI Verification is still becoming a recognised enterprise discipline. Joining Lawnise means helping shape not only a platform, but the methods, controls and professional practice that make the category credible.
- 01
Work on a problem that is arriving now
Internal copilots, agents and public AI answers are already influencing operations and decisions. The verification gap is no longer theoretical.
- 02
Build independence into the system
We are not the AI provider marking its own work. Independence determines how we design evidence, review findings and protect decision boundaries.
- 03
Work across disciplines
Important answers rarely belong to engineering, compliance or security alone. The work is strongest when those disciplines test one another's assumptions.
- 04
Build beyond the first market
We begin where scrutiny is high: regulated financial services in Malaysia and Singapore. What we learn there should support verification across sectors and jurisdictions.
Our standard
The work must survive scrutiny
Evidence before assertion
We distinguish what is proven, what is inferred and what remains unknown. Confidence is not a substitute for evidence.
Independence by design
Verification judgement must not be controlled by the system or interest being assessed. We protect that boundary in the product and in the way we work.
Build for review
Decisions, code and findings should be understandable to the next person who examines them. We document the reasoning, not only the outcome.
Authority with accountability
Ownership should be clear, challenge should be possible and consequential decisions should leave a trace.
Disciplines at Lawnise
One verification system. Several forms of expertise.
These are enduring disciplines in the institution we are building—not a promise that every discipline has a vacancy today.
Assurance and governance
Turn AI behaviour into findings, evidence and decisions that risk, audit and leadership teams can use.
Security and compliance
Make our own controls and customer commitments worthy of the standard we ask others to meet.
Engineering and infrastructure
Build reliable collection, verification, evidence and integration systems for enterprise environments.
Evaluation, research and jurisdictional knowledge
Develop the methods, benchmarks, source, language and regulatory context needed to assess AI claims responsibly across markets.
Enterprise partnerships
Build the trusted relationships and commercial pathways through which regulated organisations adopt independent verification.
Open roles
Work that carries real ownership
Our current openings are based in Kuala Lumpur with a hybrid working model. Each role may be structured as full-time or fractional, depending on the candidate and the operating model agreed together.
Security & compliance
Head of Security & Compliance
Set the security and compliance direction that makes Lawnise worthy of enterprise trust.
- Kuala Lumpur · Hybrid
- Full-time or fractional
Assurance
AI Governance & Assurance Lead
Lead the human assurance workflow that validates AI findings, protects evidence quality and coordinates enterprise engagements.
- Kuala Lumpur · Hybrid
- Full-time or fractional
Engineering
Solutions Engineer
Own the technical journey from enterprise setup through reliable operation across public AI and Internal AI verification.
- Kuala Lumpur · Hybrid
- Full-time or fractional
Hiring process
A focused process, relevant to the work
We assess the evidence that matters for the mandate. We will explain the engagement clearly, keep the process focused and never ask you to complete unpaid production work.
- STEP 01
Application review
Share your CV and a short response to the role question. Please leave out confidential information belonging to a current or former employer.
- STEP 02
Introductory conversation
A conversation about the mandate, your experience, availability and the current engagement model.
- STEP 03
Structured role discussion
We discuss a bounded, fictionalised or Lawnise-provided work sample relevant to the role.
- STEP 04
References and engagement
With your permission, we speak with referees you nominate before discussing final terms in writing.
The exact process may vary where the mandate requires another specialist discussion. We will tell you before adding a stage.
Do your best work in the process
Strong judgement is built from different professional paths and points of view. If you need an adjustment to access the application or take part in an interview, email careers@lawnise.com. The request will not be used to assess your suitability for the role.
Help make AI answerable to evidence.
If your work has taught you that trust must be earned, tested and maintained, there may be a place for you at Lawnise.
See the mandates we are hiring for now.
For access needs or questions about an open role.