About this role
The Senior AI Engineer will join a project focused on building and extending a unified, AI-augmented Quality Engineering framework. The role involves combining AI orchestration, test automation, MLOps, CI/CD, and governance to enable intelligent test generation, optimization, and self-healing capabilities. Key responsibilities include designing and implementing the framework, developing reusable prompt templates, and building an AI orchestration service. The engineer will also implement MCP-based integrations and establish reusable AI platform components for enterprise adoption. The position requires a strong background in Python or modern programming languages and experience with LLM technologies and orchestration frameworks like LangChain or Semantic Kernel.
Skills & technologies
Must have
- Python
- AI/LLM
- LangChain
- Semantic Kernel
- MLOps
- CI/CD
- Governance-as-Code
- Model Context Protocol
- GitHub Copilot
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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, test automation, MLOps, CI/CD, and governance to enable intelligent test generation, optimization, self-healing capabilities, and advanced test data management.
This is you
- Strong programming experience with Python or another modern programming language
- Hands-on experience with AI/LLM technologies and AI-assisted development
- Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, or similar
- Understanding of Model Context Protocol (MCP) and enterprise AI integrations
- Experience with GitHub Copilot or similar AI coding assistants
- Understanding of MLOps, AI governance, or Governance-as-Code concepts
- Experience working with version-controlled configuration, prompts, instruction sets, or other reusable AI artefacts
This is your role
- Design and implement a unified AI-augmented Quality Engineering framework
- Develop reusable instruction sets, prompt templates, and patterns for AI-assisted test generation
- Extract and standardize reusable components from existing automation frameworks
- Build an AI orchestration service for controlled interaction with approved AI models
- Implement MCP-based integrations with enterprise systems and configure approved MCP connectors
- Enable AI-assisted workflows for test design, analysis, optimization, and automation
- Establish reusable AI platform components and orchestration patterns for adoption across enterprise applications
- Implement Governance-as-Code, including versioned instruction sets, prompt templates, and policy rules
What awaits you at Avenga?
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.
