Solution architect in AI agent platforms

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.

• 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.

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

• 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.