Engineering Lead / Platform Architect

We are looking for a hands-on Engineering Lead / Platform Architect to help build and scale a complex AI-driven platform. This role is ideal for someone who can combine strong technical architecture skills with practical delivery leadership.

The successful candidate will work closely with the AI/product lead to translate strategic vision into a scalable, secure, and well-governed engineering roadmap. They will provide technical oversight, guide implementation, define architecture standards, and coordinate multiple developers as the team grows.

This is not a pure management role. We need someone who can actively shape the platform, make sound engineering decisions, and lead by doing.

• Own the technical architecture for a multi-module AI-driven platform
• Define and maintain service boundaries, integration patterns, APIs, schemas, and engineering standards
• Lead day-to-day technical execution across multiple developers
• Translate product and AI strategy into clear, buildable engineering plans
• Ensure the platform remains cohesive, scalable, secure, and maintainable as new modules are introduced

Establish best practices for:

• System design
• Code quality
• Documentation
• Testing
• Deployment
• Observability
• Identify and manage technical risks, dependencies, and architectural trade-offs
• Support hiring, onboarding, and mentoring of engineers as the team expands
• Work closely with leadership to balance speed of delivery with oversight and governance
• Act as the technical bridge between innovation, architecture, and execution.

What This Role Owns:

Engineering oversight, platform architecture, technical delivery structure, developer coordination and quality and scalability of implementation.

Required Experience:

• Proven experience as an Engineering Lead, Staff Engineer, Principal Engineer, or Solutions/Platform Architect.
• Strong background designing and delivering scalable software platforms.
• Experience leading developers in a fast-moving product or platform environment.
• Deep understanding of: Distributed systems, API and integration design, event-driven or service-oriented architecture and cloud-based deployment patterns, ability to make practical architectural decisions while keeping delivery moving.
• Strong communication skills, with the ability to align technical and non-technical stakeholders
• Comfortable operating in an evolving environment where structure is still being defined:

Preferred Experience

• Experience working on AI-enabled products or data-intensive platforms
• Exposure to security, intelligence, risk, or decision-support systems
• Familiarity with governance, auditability, and operational controls in complex platforms
• Experience setting up engineering processes for a growing team

Ideal Candidate Profile

The ideal candidate is:

• Technically strong and credible with engineers
• Structured and disciplined in architecture
• Practical and delivery-oriented
• Comfortable taking ownership
• Capable of leading without creating bureaucracy
• Able to bring order, clarity, and momentum to a growing technical function