Job Description

Job Overview

We are building a technology company with a single mission:

making the transportation industry safer using advanced AI

.

We are seeking an experienced

Technical Architect / AI Systems Lead

to own and shape the technical foundation of the company from day one. This is a founding-level role with real authority, real responsibility, and meaningful equity upside.

You will define the end-to-end system architecture, validate AI feasibility, and ensure that all technical decisions meet uncompromising standards for

safety, robustness, and scalability

.

This is not a support role or a delivery-only position. You will directly influence whether the system is trustworthy at all.

Why This Role Is Critical

Without a technically credible architecture and AI strategy, everything downstream is noise.

This role exists to:

Prevent architectural debt that compromises long-term scalability Eliminate false confidence in unsafe or unverifiable AI systems Ensure early technical decisions survive real-world deployment
You will define the

technical spine

of the company.

Key Responsibilities

You will be responsible for:

Owning the

end-to-end technical architecture

, from data ingestion through AI processing to downstream services Defining and defending

AI system feasibility

, including what is safe, provable, and worth building Making

high-impact technical trade-offs early

, often under uncertainty Establishing and enforcing non-negotiable standards for: System safety Performance and reliability Scalability and maintainability Designing systems that are

auditable, testable, and interpretable

Identifying and mitigating failure modes before they reach production Challenging assumptions -- including those of the founder -- when evidence requires it Setting the technical culture and quality bar for all future hires
AI & System Integrity Responsibilities

Own AI lifecycle decisions from validation through deployment Define acceptable error thresholds and system risk tolerances Ensure AI models and outputs are interpretable, testable, and defensible Prevent deployment of AI systems that cannot be confidently trusted Anticipate and manage model drift, edge cases, and false positives
Safety takes precedence over speed.

RequirementsExperience & Seniority

Proven experience operating as a

Technical Lead, Principal Engineer, or Architect

Demonstrated ownership of

end-to-end system design

, not just feature delivery Track record of making and standing behind

high-impact architectural decisions

Systems & Architecture

Strong understanding of

distributed systems

, scalability, reliability, and fault tolerance Ability to design systems that are

robust, auditable, and resilient

Experience translating ambiguous requirements into clear technical architectures
Programming & Engineering

Strong proficiency in

at least one backend or systems language

(e.g. Python, Java, C#, or equivalent) Working knowledge of modern

service-oriented and frontend architectures

Focus on engineering judgment rather than exhaustive language lists
Cloud & Infrastructure

Hands-on experience designing and operating

cloud-based systems

(AWS or equivalent) Practical knowledge of

containerisation and orchestration

(Docker, Kubernetes) Experience using core cloud primitives such as compute, object storage, and networking
Data & Persistence

Experience working with

relational and NoSQL databases

Understanding of data modelling, integrity, and lifecycle management Awareness of performance, consistency, and scalability trade-offs
APIs & Integration

Experience designing and implementing

API-driven systems

(RESTful services) Understanding of service boundaries, contracts, and integration failure modes
DevOps & Delivery Discipline

Strong understanding of

SDLC best practices

Experience with CI/CD pipelines and infrastructure automation Ability to design systems that are observable, maintainable, and recoverable
AI & Technical Judgment

Experience working with or alongside

applied AI / ML systems in production

Ability to assess AI feasibility, limitations, and risk Understanding of interpretability, validation, and failure modes in AI-driven systems
Leadership & Problem Solving

Ability to lead through

technical authority

, not hierarchy Excellent problem-solving skills under ambiguity and time pressure Willingness to challenge assumptions and make difficult decisions
Character & Operating Standards (Non-Negotiable)

We assume technical competence. We assess character.

You must demonstrate:

Extreme ownership

over outcomes

Intellectual honesty under scrutiny

Calm, disciplined decision-making under technical uncertainty Willingness to say "no" when systems are not safe Comfort being accountable for long-term consequences
Immediate Disqualifiers

This role is not suitable for candidates who:

Overpromise AI capability Optimise novelty over robustness Require titles or validation to operate Treat AI systems as opaque black boxes Avoid accountability for architectural debt or safety risk
This is not a learning role.
This is not a stepping stone.

Equity & Commitment

Eligible for

4% equity

, earned and vested over time Equity is performance- and trust-based If early MVP initiatives reach even

25% of projected targets

, that equity stake is projected to be worth

approximately 120,000 per month

Designed for candidates seeking

ownership and long-term impact

, not short-term security
Vetting Process

Most applicants will not pass.

The process includes:

Signal-based screening (not CV-led) A practical technical and architectural challenge A founder-level interview focused on judgment and ethics Final decision gate based on trust to make irreversible decisions affecting safety
Final Note

This role is deliberately demanding.
It will expose weaknesses quickly.
It rewards people who want responsibility, not reassurance.

Apply with evidence of systems you have owned and decisions you have stood behind.

Job Types: Full-time, Part-time

Pay: 90,000.00-480,000.00 per month

Expected hours: No less than 30 per week

Benefits:

Profit sharing
Work Location: Remote