Staff / Principal Engineer — AI-Native Engineering

TechTree; Bogotá; Hybrid; COP 377,632,000 - 566,447,000; Full time

Job summary

TechTree seeks a Staff / Principal Engineer to lead an AI-native engineering transformation at a global insurer. Hybrid work in Bogotá or Monterrey, focusing on scaling AI-enabled delivery across the organization.

This hands-on leadership role blends architecture, delivery, and coaching to drive architectural excellence and AI-driven modernization across critical enterprise systems.

Qualifications

• Hands-on software engineering and solution architecture are required.
• Experience with AI-assisted/agentic development is essential.
• Product engineering mindset aligned to customer journeys and business outcomes.
• Ability to mentor and uplift other engineers is important.

Responsibilities

• Lead solution architecture for complex, business-critical enterprise systems.
• Embed agentic and AI-assisted engineering into delivery teams.
• Apply AI to legacy understanding, test automation and engineering workflows.
• Coach engineers hands-on and influence standards without formal authority.
• Own the technical direction of a major business domain at Principal level.

Skills

Hands-on software eng

Solution architecture

AI-assisted development

Mentoring engineers

Job description

Staff / Principal Engineer — lead AI-native engineering transformation at a global insurer. Hybrid, Bogotá or Monterrey.

Our client is a global insurance leader running complex, business-critical systems at enormous scale. It is moving its entire engineering organisation to an AI-native model — from design and development through testing, deployment and operations. The tooling and foundations are in place; the challenge now is scaling them across the organisation.

This is a hands‑on technical leadership role: not pure IC, not line management. You'll shape complex solutions, embed new ways of working and act as a multiplier across delivery teams.

What You'll Do

• Lead solution architecture for complex, business-critical enterprise systems
• Embed agentic and AI‑assisted engineering into real delivery teams
• Apply AI to legacy understanding, test automation and engineering workflows
• Coach engineers hands‑on and influence standards without formal authority
• At Principal level, own the technical direction of a major business domain

What We’re Looking For

• Deep, current hands‑on software engineering and solution architecture
• Real applied experience with AI‑assisted / agentic development — not just commentary
• Product engineering mindset tied to customer journeys and business outcomes
• Proven ability to mentor and lift other engineers
• Insurance, banking, payments or high‑scale digital product background is a plus — insurance is not required

Interview process: 3–5 stages, including a live case‑based architecture discussion. No live coding test.