Sr Cloud Architect

Summary As a Senior Cloud Architect on our Cloud Engineering team, you will lead the design and implementation of complex cloud solutions for our clients across multiple cloud platforms. You will serve as a technical leader and subject matter expert, providing strategic guidance on cloud architecture, security, cost optimization, and the secure adoption of enterprise AI capabilities. You will mentor junior team members while driving innovation and best practices across the organization. The Senior Cloud Architect designs complex, enterprise-grade cloud solutions that address sophisticated business requirements across multi-cloud and hybrid environments. Through expert-level understanding of cloud architecture and emerging technologies, you will lead architectural reviews, optimize cloud costs, and ensure solutions meet the highest standards of security, scalability, and reliability. This role requires deep expertise in multiple major cloud platforms and the ability to align technical solutions with business strategy, including the secure and well-governed integration of enterprise AI services into client environments. Responsibilities  (including, but not limited to the following) Lead the design and implementation of complex cloud solutions for clients with sophisticated requirements Provide expert-level strategy and technical guidance on cloud architecture across multiple platforms Design and architect complex cloud solutions that span multi-cloud and hybrid environments Lead architectural reviews and provide authoritative guidance on design decisions Implement and optimize complex cloud security controls and compliance frameworks Conduct cloud cost optimization assessments and provide strategic recommendations to maximize ROI Mentor and provide technical leadership to junior cloud engineers and architects Lead client engagements as the primary technical authority on cloud solutions Drive the adoption of cloud best practices and emerging technologies across the organization Guide clients on the secure adoption and integration of enterprise AI platforms (such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, or ChatGPT Enterprise), including governance and data handling considerations Advise on data readiness for AI, including sensitivity labeling, permissions hygiene, and oversharing remediation in Microsoft 365 and related platforms Architect multi-region solutions with sophisticated disaster recovery and business continuity planning Develop and maintain cloud architecture standards, patterns, and governance frameworks Translate complex business objectives into comprehensive technical architectures Evaluate and recommend new cloud services and technologies to solve advanced business challenges Lead proof-of-concept initiatives for emerging cloud technologies Provide thought leadership on cloud strategy and roadmap development Skills   Must be able to articulate complex technical architectures to executive leadership and diverse stakeholders Ability to deliver innovative, enterprise-grade technology solutions for clients Ability to lead projects under pressure and with competing priorities Highly analytical thinker with advanced troubleshooting and problem-solving skills Must have availability to occasionally work nights and some weekends Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions Proficiency with git and version control in conjunction with Azure DevOps repositories Deep familiarity with containerization, Kubernetes, and cloud-native application architectures Expert understanding of Windows and Linux environments at the enterprise scale Expert understanding of deploying to Azure using Terraform and other Infrastructure as Code tools Advanced understanding of deploying to Azure using CI/CD processes with complex pipelines Advanced experience with administering Microsoft Fabric Ability to align cloud solutions to complex business needs and strategic objectives Solid proficiency in PowerShell and/or Python with working familiarity in Bash and other scripting languages Ability to read, understand, and optimize complex code and infrastructure configurations Deep understanding of cloud economics and ability to optimize costs at enterprise scale Expert knowledge of security frameworks, compliance requirements, and risk management Fundamental understanding of how generative AI and large language models work, including their limitations (hallucination, prompt injection, non-determinism) and practical mitigations for production use Working knowledge of enterprise AI platforms such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, including their security, governance, and data handling considerations Understanding of AI skills and agentic behavior, including tool use, orchestration patterns, and failure modes Working knowledge of Microsoft Purview, particularly Data Loss Prevention (DLP), Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling Awareness of AI regulatory considerations in the US or UK, particularly data residency and auditability (helpful, not required) Qualifications 5+ years of experience in cloud engineering and architecture Proven track record designing and implementing complex, enterprise-scale cloud solutions Senior-level certifications in multiple cloud platforms (e.g., AWS Solutions Architect Professional, GC