Job description

Job ID Number R5723 Employment Type Full time Worksite Flexibility Remote Job Summary We are looking for a Senior Technical Platform Architect ready to take us to the next level! If you are a strategic thinker with a robust technical background and strong leadership skills to help guide enterprise-level projects and are looking for your next career move, apply now! Job Description We are looking for a Senior Technical Platform Architect to help implement and manage cutting-edge data platforms while ensuring they are scalable, reliable, and optimized for AI-driven insights. This position will be full-time and remote. What You’ll Do • Design and implement scalable microservices architectures to support data platforms and AI applications, enhancing flexibility and performance • Define scalable reference architectures for AI, data, and automation platforms across Azure and AWS • Collaborate with clients to understand their requirements and design tailored data solutions, ensuring delivery meets or exceeds expectations • Engage in hands-on prototyping of new technology solutions, collaborating across teams to drive innovation • Lead technical design of infrastructure and solution blueprints that span services such as Azure ML, OpenAI, SageMaker, Lambda, and API Gateway • Technical oversight of Azure DevOps pipelines and GitHub Actions to automate build, test, deployment, and infrastructure provisioning • Define best practices for deploying AI models, APIs, data pipelines, and copilots into secure, multi-tenant environments • Work closely with business and technical teams throughout the software development life cycle, making major technical and architectural decisions • Maintain architectural documentation and technical assets including diagrams, runbooks, and playbooks • Evaluate and select third-party components, frameworks, or accelerators to support GenAI/ML system delivery What You'll Need Required: • 7+ years of experience in microservices architecture, platform engineering, or solution design • Bachelor's degree in computer science, information technology, data science, data analytics, or a related field • Strong leadership skills with experience in enterprise-level projects and executive engagement. • Strong hands-on experience with Azure platform architecture, including services such as Azure ML, OpenAI, App Services, Key Vault, and Azure Functions • Working experience with AWS services such as SageMaker, Lambda, ECS/EKS, and S3 • Proficiency in Azure DevOps (Repos, Pipelines, Artifacts) and/or GitHub Actions for CI/CD orchestration • Experience in containerized deployments (Docker, Kubernetes, AKS, EKS) and microservices architecture • Ability to design multi-cloud architectures that account for compliance, cost, and technical complexity • Familiarity with .NET framework and programming languages (Python, R, Scala, Java) • Excellent problem-solving, communication, presentation and teamwork skills Preferred: • Familiarity with hybrid environments and cloud migration strategy • Microsoft or AWS certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect) • Exposure to public sector or regulated industries (e.g., state government, healthcare, education) • Experience supporting production environments and troubleshooting complex cloud-native systems • Familiarity with GenAI models and AWS Bedrock experience • Experience in Agile methodology and working on Agile projects Physical Demands • Ability to safely and successfully perform the essential job functions • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay range for this position is $170,000 - $190,000 annually (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit package includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.​ #LI-JE1 Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111. Equal Employment Opportunity Policy Statement CAI is committed to equal employment opportunity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or veteran status. All employment decisions are based on valid job requirements, including hiring, promotion, and compensation. Harassment and retaliation are prohibited.

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