Solution Architect, AI SDLC

About the Position

Solution Architect, AI SDLC

The Principal Engineer is the foremost technical authority for AI-driven software delivery practices. The role defines engineering strategy, architecture standards, AI governance implementation, and enterprise-scale adoption of AI throughout the software development lifecycle. This individual drives transformation towards AI-native engineering practices while ensuring security, quality, traceability, and compliance. Inspired by emerging AI-DLC practices, the Principal Engineer guides teams in leveraging AI across requirements, design, development, testing, deployment, and operations.

Responsibilities

Technical Leadership

• 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.

AI SDLC Strategy

• 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.

Engineering Excellence

• 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.

AI Governance & Risk

• Ensure responsible AI implementation.
• Define controls around security, privacy, bias, explainability, and compliance.
• Collaborate with architecture, security, legal, and governance teams.

Organizational Impact

• Mentor senior engineers and technical leads.
• Drive engineering capability development and innovation.
• Represent the organization in executive technical discussions.

Requirements

• 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.

Technical Expertise

• Enterprise architecture
• AI engineering platforms
• LLM orchestration
• RAG and knowledge systems
• CI/CD and DevSecOps
• AI governance frameworks
• Microservices and event-driven architectures
• Kubernetes and cloud platforms (Azure/AWS/GCP)

Key Competencies

• Strategic technical leadership
• Innovation mindset
• Executive communication
• Systems thinking
• Mentorship and coaching
• Enterprise influence

Locations

• Bulgaria
• Croatia
• Poland
• Portugal
• Spain

We Offer

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

About the Company

Intellias is a global technology company that specializes in delivering innovative solutions in the fields of AI, cloud, and data. Our mission is to empower businesses through technology, enabling them to achieve their strategic goals and drive digital transformation.