This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

We are looking for a Senior AI Engineer to join a project focused on building and extending a unified, AI-augmented Quality Engineering framework.

In this role, you will combine AI orchestration, agentic frameworks, MLOps, Governance-as-Code, CI/CD, and Test Data Management to enable AI-assisted testing, self-healing automation, reusable AI capabilities, and performance testing.

This is you

Strong software engineering and programming skills, preferably with Python
Hands-on experience with AI orchestration and agentic frameworks, such as MCP, LangChain, Semantic Kernel, or similar
Experience working with AI models and AI-assisted development workflows
Experience with GitHub Copilot or similar AI-assisted development tools
Good understanding of MLOps, Governance-as-Code, and PromptOps
Experience with versioned instruction sets, prompt templates, policy rules, and reusable AI artifacts
Experience with CI/CD, including Jenkins and/or GitHub Actions
Understanding of AI-assisted testing and self-healing automation
Experience with synthetic test data generation and Test Data Management (TDM)

This is your role

Extend existing automation frameworks with AI-enabled capabilities and contribute to a unified AI-augmented Quality Engineering framework
Develop reusable prompts and instruction sets for AI-assisted test generation and standardize shared automation components
Implement AI orchestration and MCP-based enterprise integrations, including GitHub Copilot and approved MCP connectors
Enable governed AI workflows for test design, analysis, and optimization, and establish reusable orchestration and integration patterns
Implement Governance-as-Code using versioned instruction sets, prompt templates, and policy rules, including their propagation and distribution across automation repositories
Enable self-healing automation for UI, API, and database changes through engineer-controlled approval workflows
Integrate the framework with Jenkins/GitHub Actions and support dynamic regression selection and parallel test execution
Transition selected existing automation flows into the unified framework, apply AI capabilities, and validate them against agreed PoC success criteria
Analyze test data sources and implement reusable capabilities for deterministic test data generation and management
Track automation coverage, stability, execution time, and defect trends, support centralized reporting through Report Portal, and measure improvements against established baselines
Develop AI-assisted performance and load testing capabilities, including reusable scenarios, scripts (e.g. Locust-based), test data, and request payloads

What awaits you at Avenga?

Through our values – Better Minds, Bolder Ideas, and Bigger Hearts – we strive to create a work environment where people feel supported, trusted, and empowered to grow.

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

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