Principal Technical Architect

JR United Kingdom; Glasgow; On-site; GBP 80,000 - 100,000; Full time

Job summary

A fast-growing company in the AI sector is seeking a Principal Technical Architect in Glasgow. The role involves defining technical strategies, leading teams, and engaging with clients to integrate cutting-edge tools. Success requires strong expertise in Azure and Python, alongside mentorship capabilities and hands-on delivery.

Qualifications

• 7+ years in software engineering and architecture.
• Proven leadership in scaling modern systems and teams.
• Familiarity with AI/ML pipelines.

Responsibilities

• Define and evolve architecture across platforms.
• Mentor engineers and shape team structure.
• Lead technical discovery and delivery for client projects.

Skills

Azure

Python

infrastructure-as-code

Tools

Terraform

Job description

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I am looking for a Principal Technical Architect to join my clients fast-growing company, delivering cutting-edge AI products and services.

As a Lead/Principal Architect, you’ll have real influence over what we build, how we build it, and how our team grows, while staying hands-on and close to the tech.

Key Responsibilities:

• Technical Strategy: Define and evolve architecture across platforms; make key decisions on tooling, infrastructure, and cloud (Azure, AWS, GCP).
• Team Leadership: Mentor engineers, shape team structure, and foster a collaborative, high-performing culture.
• Hands-On Delivery: Stay involved in coding, reviews, and prototyping; champion best practices in CI/CD, DevOps, and infrastructure as code.
• Client Engagement: Lead technical discovery and delivery for client projects; ensure successful integration of our tools.
• Cross-Functional Collaboration: Work closely with product and leadership to align tech with business goals; support sales and customer success.

Requirements:

• 7+ years in software engineering and architecture.
• Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform).
• Proven leadership in scaling modern systems and teams.
• Familiarity with AI/ML pipelines.
• Excellent communication and stakeholder engagement skills.