AI Platform Architect for Enterprise AI Transformation

Intellias; Portugal; On-site; EUR 120,000 - 180,000; Full time

Job summary

Intellias seeks a Principal Engineer to shape AI-driven software delivery, setting engineering strategy, architecture standards, and enterprise AI governance across the lifecycle. This leader guides teams in AI-native practices with emphasis on security, quality, traceability, and compliance.

The project focuses on building scalable, automated AI platforms for a global enterprise. You will influence architecture decisions, mentor engineers, and drive innovation in AI orchestration,

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, or equivalent experience.
• 12+ years of software engineering experience.
• 5+ years leading architecture or platform engineering initiatives.
• Deep expertise in cloud-native architecture and distributed systems.
• Strong understanding of modern AI/ML technologies, LLMs, agent frameworks, RAG, vector databases, and MLOps.
• Strong experience in enterprise architecture and AI engineering platforms, including LLM orchestration, RAG, and knowledge systems.
• Solid expertise in cloud-native architectures, microservices, event-driven systems, Kubernetes, CI/CD, and DevSecOps across Azure, AWS, or GCP.
• Experience defining and implementing AI governance frameworks and enterprise technology standards.
• Strong strategic technical leadership, systems thinking, and an innovation-driven approach.
• Excellent executive communication and ability to influence technology decisions across the enterprise.
• Proven experience in mentoring and coaching technical teams and driving architectural alignment.

Responsibilities

• Define enterprise architecture and engineering standards for AI-enabled development.
• Create frameworks, reference architectures, and reusable platform capabilities.
• Act as the ultimate escalation point for complex technical decisions.
• Lead adoption of AI-assisted software engineering practices.
• Establish standards for prompt engineering, agent-based development, AI testing, AI observability, and AI governance.
• Drive AI integration throughout the software development lifecycle.
• Champion Domain-Driven Design (DDD), Behaviour-Driven Development (BDD), and Test-Driven Development (TDD).
• Define best practices for automated code generation, review, validation, and deployment.
• Establish engineering metrics and quality gates.
• Ensure responsible AI implementation.
• Define controls around security, privacy, bias, explainability, and compliance.
• Collaborate with architecture, security, legal, and governance teams.
• Mentor senior engineers and technical leads.
• Drive engineering capability development and innovation.
• Represent the organization in executive technical discussions.

Skills

Cloud-native architecture

Kubernetes

CI/CD

DevSecOps

LLMs / AI engineering

AI governance

enterprise architecture

Executive communication

Mentoring

Strategic leadership

Education

Bachelor's/Master's in CS/Engineering/AI

Tools

Azure

AWS

GCP

LLM orchestration

RAG & knowledge systems

Job description

Intellias seeks a Principal Engineer to shape AI-driven software delivery, setting engineering strategy, architecture standards, and enterprise AI governance across the lifecycle. This leader guides teams in AI-native practices with emphasis on security, quality, traceability, and compliance.

The project focuses on building scalable, automated AI platforms for a global enterprise. You will influence architecture decisions, mentor engineers, and drive innovation in AI orchestration,