Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering excellence with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

As a Senior AI Engineer, you will be the primary 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 toward AI-native engineering practices while ensuring security, quality, traceability, and compliance. Inspired by emerging AI-DLC practices, the AI Engineer guides teams in leveraging AI across requirements, design, development, testing, deployment, and operations.

Core skills you’ll bring include AI engineering platforms, LLM orchestration, RAG and knowledge systems, CI/CD and DevSecOps, AI governance frameworks, microservices and event-driven architectures, and Kubernetes and cloud platforms (Azure/AWS/GCP).

The impact you’ll create: - Define and drive the AI engineering strategy across the software development lifecycle. - Establish architecture standards, best practices, and AI governance frameworks. - Lead the adoption of AI-powered tools and processes across development, testing, deployment, and operations. - Ensure security, quality, compliance, and traceability in AI-assisted software delivery. - Provide technical leadership and guidance on AI-native engineering practices.

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering excellence with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

As a Senior AI Engineer, you will be the primary 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 toward AI-native engineering practices while ensuring security, quality, traceability, and compliance. Inspired by emerging AI-DLC practices, the AI Engineer guides teams in leveraging AI across requirements, design, development, testing, deployment, and operations.

Core skills you’ll bring include AI engineering platforms, LLM orchestration, RAG and knowledge systems, CI/CD and DevSecOps, AI governance frameworks, microservices and event-driven architectures, and Kubernetes and cloud platforms (Azure/AWS/GCP).

The impact you’ll create: - Define and drive the AI engineering strategy across the software development lifecycle. - Establish architecture standards, best practices, and AI governance frameworks. - Lead the adoption of AI-powered tools and processes across development, testing, deployment, and operations. - Ensure security, quality, compliance, and traceability in AI-assisted software delivery. - Provide technical leadership and guidance on AI-native engineering practices.