Quality Cloud Architect (AI Solutions Engineer)

About Us:

ClearRoute is an is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We work with technology leaders facing complex business challenges.

We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem-Solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. We want to create a collaborative team to help build ClearRoute. This is an opportunity for you to build the organization from the ground up, use your voice to drive change and help transform organisations and problem domains.

Job Role

ClearRoute is driving the adoption of agentic-first development to deliver transformative AI solutions. We are seeking an AI Solutions Engineer to play a key role in building foundational, reusable platform components (“Primitives”) and implementing production-ready AI use cases. This role is central to accelerating business value by embedding intelligent, autonomous agents into modern engineering ecosystems.

You will work closely with cross-functional teams to leverage existing GenAI capabilities, design scalable AI frameworks, and deliver high-impact solutions such as the Automated Code Modernisation & Migration Agent. This engagement will establish the foundation for future AI initiatives and contribute to long-term AI strategy and innovation.

Key Responsibilities:

• Build Foundational AI Primitives – Design and develop reusable platform components to support current and future AI use cases.
• Deliver Production-Ready AI Solutions – Implement 1–2 AI solutions, with a primary focus on the Automated Code Modernisation & Migration Agent.
• Automated Code Modernisation & Migration – Create intelligent agents to address technical debt by automating code transformation from legacy patterns to modern standards (e.g., Chef to Ansible migrations, platform version upgrades).
• Value Measurement Framework – Develop and implement measurement tools to assess the value and effectiveness of agentic adoption, enabling data-driven investment decisions.
• Cross Team Collaboration – Work closely with engineering and product teams to integrate AI into existing workflows and ensure alignment with strategic objectives.

Required Skills & Experience:

• Proven experience in AI/ML solution architecture and implementation, preferably with Generative AI and autonomous agents.
• Strong software engineering background with expertise in automation, platform engineering , and infrastructure-as-code (e.g., Ansible, Terraform).
• Experience with code modernisation and migration projects at scale.
• Familiarity with enterprise engineering ecosystems and integrating AI into large-scale systems.
• Strong understanding of measurement frameworks for AI adoption and value realisation.
• Excellent stakeholder management skills with the ability to collaborate across multiple teams.

Nice to Have

• Previous experience with financial services or highly regulated industries.
• Experience integrating AI with DevOps pipelines.
• Knowledge of Chef and Ansible migration patterns.