• Own end-to-end cloud architecture decisions across AWS and Azure, including multi-account AWS environments (Control Tower, cross-account networking, resource sharing, IAM structures) and the existing Azure footprint, with minimal ramp-up time in a multi-cloud environment. • Lead technical execution on major infrastructure initiatives independently, without requiring architectural supervision; most immediately, the Google Workspace → Microsoft 365 migration (group/permissions reconciliation, dependency remediation). • Design and maintain Infrastructure-as-Code (Terraform) at scale across a rapidly growing set of repositories and environments, setting patterns other engineers build against. • Own cross-cloud networking: transit routing, VPC endpoints, cloud-to-cloud peering, load balancer/health-path configuration, and multi-region connectivity. • Serve as a senior technical resource and mentor for Engineer II/III-level staff; a force multiplier, not a peer requiring equivalent mentorship. • Support the organization's compliance posture (HITRUST/SOC2, HIPAA) from an infrastructure perspective; access controls, logging/monitoring, and secure architecture review. • Engage credibly with external architecture stakeholders (security, compliance, vendor architects) at a level reflecting the program's maturity. • Participate in on-call/incident response for high-priority infrastructure issues.

• Set your own working hours • Work from home (remote) • Take the next step in your career and learn how to lead teams and run a company • An employer who compensates you based on performance and results

• 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!