• You'll own the Data Privacy Orchestrator, the platform 15+ areas and 1M+ members depend on to handle personal data safely. • Your job is to build safe-by-default abstractions at scale and enable every area to run its own data lifecycle, so the platform no longer depends on one person. • Own and run the platform: its core engine, safety mechanisms (preview/dry-run, audit trail), and operational health (deploys, on-call, observability). • Build the paved road: docs, templates, and self-serve tooling so any area plugs in and manages its own data rules, you build the capability, not do the work for them. • Bridge across areas: align legal, security, data, and product on requirements; resolve deletion-ordering trade-offs. Each area stays accountable for its own data. • Extend coverage across data stores and third-party systems as Alan expands into new countries.

Role Description CTG is seeking an experienced AI Platform Architect – SAP BTP to design and deliver enterprise AI solutions using SAP Business Technology Platform, generative AI technologies, and modern cloud architectures. This role will focus on architecting AI-first applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI patterns while ensuring scalable, secure, and production-ready implementations. Location: Remote Duration: 5 months Key Responsibilities: - Architect and deliver AI-first cloud applications leveraging SAP BTP, foundation models, LLMs, RAG, and agentic AI solution patterns. - Design scalable, multi-tenant SaaS architectures and enterprise-grade AI platforms. - Develop AI solutions that integrate structured and unstructured data using machine learning, natural language processing, and advanced analytics. - Lead AI solution delivery from research and prototyping through production deployment and operational support. - Define API-driven and event-driven integration strategies for enterprise applications. - Partner with development, data, and business teams to deliver secure, DevSecOps-aligned AI solutions. - Provide technical leadership on AI frameworks, cloud platforms, and modern application architectures. Qualifications - Strong experience delivering AI-first cloud applications on SAP BTP. - Expertise with Large Language Models (LLMs), foundation models, Retrieval-Augmented Generation (RAG), and agentic AI architectures. - Experience designing multi-tenant SaaS architectures and enterprise integration solutions. - Strong understanding of API and event-driven architecture patterns. - Proficiency in Python and AI/ML development frameworks including TensorFlow, PyTorch, Keras, and Hugging Face. - Experience with AI/ML libraries including Scikit-learn, Pandas, and Matplotlib. - Familiarity with AI developer tools such as GitHub Copilot and Amazon CodeWhisperer. - Knowledge of NLP and other cognitive technologies including image, video, voice processing, or Watson technologies. - Experience with cloud platforms including Kubernetes, AWS, Azure, and GCP. - Experience working with relational and NoSQL databases such as SQL, PostgreSQL, DB2, and MongoDB. - Knowledge of modern UI frameworks including React.js, AngularJS, Bootstrap, and jQuery. Requirements - Experience architecting and deploying enterprise AI solutions in production environments. - Experience with the complete AI lifecycle, including experimentation, prototyping, deployment, monitoring, and optimization. - Experience applying AI technologies to solve complex enterprise business challenges. - Experience building secure, cloud-native applications using modern DevSecOps practices. Education - Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related technical discipline preferred. - Equivalent combination of education and professional experience will be considered. - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. Benefits - The expected base salary for this position ranges from $65.00 to $70.00/hour. - Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. - In addition to salary, a competitive benefit package is also offered. To Apply To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

• Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure. • Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations). • Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling. • Lead API design and implementation with a focus on usability, performance, and long-term maintainability. • Architect and evolve microservices using domain-driven design principles. • Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities. • Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities. • Provide technical leadership, mentorship, and architectural guidance to engineers. • Establish and elevate engineering best practices across design, development, testing, and operations.

Role Description We're looking for an experienced Azure Cloud Engineer with deep Terraform and DevOps expertise to join our growing Cloud Operations team at a Specialist level. You'll take hands-on ownership of infrastructure engineering - designing, automating and maintaining Azure infrastructure at scale - while acting as a senior technical point of contact for the wider service team. This role suits someone who lives and breathes infrastructure-as-code, treats automation as the default way of working, and wants to deliver resilient, secure and cost-efficient cloud platforms for our customers. What you'll be doing - Design, build and maintain Azure infrastructure using Terraform as the primary IaC (infrastructure-as-code) tool. - Develop and own CI/CD pipelines across Azure DevOps and GitHub Actions for both infrastructure and application deployments. - Automate provisioning, configuration and lifecycle management across multiple client environments and subscriptions. - Implement and enforce security, governance and compliance baselines, covering Azure Policy, RBAC (role-based access control), Key Vault, networking and landing zones. - Monitor, troubleshoot and optimise the performance, reliability and cost of Azure workloads. - Coordinate workload and prioritisation across the team, conduct code and architecture reviews, and help uphold engineering excellence across the team's output. - Work closely with Solution Architects and the Head of Cloud Operations on solution design, migrations and customer onboarding. - Participate in an on-call / out-of-hours rota. Qualifications - Proven, in-depth experience engineering and operating Microsoft Azure environments in production. - Extensive Terraform experience - writing, structuring and maintaining modules, state management, workspaces and remote backends. - Strong DevOps background, including CI/CD pipeline design, Git-based workflows and release automation. - Demonstrable experience leading or mentoring engineers, setting technical direction and coordinating team delivery. - Solid scripting ability in PowerShell, Bash or Python. - Sound understanding of Azure networking, identity (Entra ID), security and governance. - Experience with monitoring and observability tooling such as Azure Monitor and Log Analytics. - Excellent troubleshooting skills and a methodical, root-cause approach to problems. Requirements - Azure certifications (such as AZ-104, AZ-305 or AZ-400) or a HashiCorp Terraform Associate qualification. - Experience with containers and orchestration (AKS, Docker, Kubernetes). - Exposure to multi-tenant or MSP environments and client-facing delivery. - Familiarity with configuration management and policy-as-code tooling. Benefits - Join a skilled, collaborative Cloud Operations team working on varied, high-impact projects. - Genuine investment in your growth through funded certifications and training. - Flexible, fully remote working from anywhere in the UK. - A culture that values automation, engineering excellence and continuous improvement.