Senior Cloud Architect

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

The Position

We seek a bright and motivated Cloud Architect to lead the adoption of AI technologies within our company's architecture and strengthen our position in delivering AI-driven cloud services for all Arch Organizations. The Cloud Architect will drive the AI transformation journey, from designing AI frameworks to leading the implementation strategy, rollout plans, and delivering hybrid AI cloud services. In addition, the candidate will work with various Arch Organizations across the globe to define the approach for integrating AI into the on-premises infrastructure stack, identifying AI opportunities, reviewing existing implementations, and recommending strategies to improve AI-driven resiliency, simplicity, and cost optimization. 

This is a remote role (US Only) with a high preference for applicants in the NC or CT areas, as occasional in-office visits in these locations are a must.

Job Responsibilities 

• AI Services Technology Custodian: Build a well-informed AI services strategy and manage the adoption process to deliver AI-based services. Design Arch’s AI services offerings ensuring data integrity and security across different platforms. 
• Technology Selection and Evaluation: Research and recommend new AI technologies, platforms, and tools to improve efficiency, scalability, and cost-effectiveness. 
• AI Services Architecture Design: Create and implement the overall structure and design of AI cloud services/systems to meet current and future business needs, ensuring scalability, performance, and security. 
• Capacity Planning and Performance Optimization: Forecast future capacity needs, recommend opportunities to optimize performance across adopted AI services. 
• High Availability and Disaster Recovery Planning: Design and implement strategies to ensure AI services/systems remain available in the event of service or software failures, natural disasters, or cyberattacks. 
• Enterprise Standards Compliance: Establish processes to ensure adherence to Arch standards, controls, policies, and procedures working with various business units, Infosec organization, and stakeholders. 
• Documentation and Standards: Create and maintain comprehensive documentation of AI architecture, design, and configurations, and establish and enforce AI standards and best practices. 
• AI Integration and Deployment: Evaluate, plan, and guide AI integration projects, transferring services between different AI systems, and ensuring integration between various applications. 

Required Skills/Experience 

• Minimum of 5+ years experience in designing, developing, configuring, and implementing enterprise infrastructure solutions with diverse solutions from multiple vendors on a large enterprise and global scale 
• AI Platforms: Deep expertise with major AI platforms like Azure AI Foundry, Google AI Studio/Vertex, or AWS AI/Bedrock, understanding their AI services, networking, and security features. 
• 5+ years experience delivering active Cloud technologies and service hosted in Azure and AWS 
• 5+ years of solid experience and understanding of multi-tenant data center architecture, including cloud architectures in design, implementation, and operations such as AWS and Azure 
• Ability to multi-task, meet project-specific deadlines, work in a team, and produce results independently 

Desired Skills/Experience 

• 3+ years experience working on various Automation platforms like Terraform/Ansible/ARM Templates delivering Infrastructure as Code and automating management & operations 
• AI-Optimized Cloud Services: Expertise in deploying and managing AI/ML services on major cloud platforms. Ability to architect solutions leveraging managed AI services like pre-trained models, NLP APIs, and computer vision tools. 
• AI/ML Frameworks and Tools: Working knowledge of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch) to understand AI/ML requirements, design, and optimize deployment of various cloud services. 
• MLOps: Knowledge of MLOps principles and tools to streamline the ML model development and deployment process. 
• Infrastructure as Code (IaC): Proficiency with tools like Terraform or CloudFormation to automate the deployment and management of AI infrastructure. Knowledge of deployment methodologies and hands-on experience with various CI/CD pipelines like Git Actions / Azure DevOps / Jenkins / Harness. 
• Performance Optimization: Skill in monitoring, analyzing, and optimizing AI/ML workloads and data pipelines for performance and cost efficiency. Practical knowledge of implementing APM, monitoring, and logging at scale. 

Education 

• Bachelor's degree in Information Systems, Business, or related field, preferred 

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For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$175,000 - $215,000/year

• Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.