This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is remote.

Position Overview

We are seeking an experienced Principal Cloud & AI Architect to lead the design, development, and implementation of enterprise cloud and artificial intelligence solutions. This position will provide technical leadership, establish architecture standards, and ensure solutions are scalable, secure, reliable, and aligned with business objectives.

The ideal candidate will have extensive experience in cloud architecture, AI technologies, software development, and enterprise integrations, along with strong leadership and communication skills.

Key Responsibilities

• Lead the design and implementation of enterprise-scale cloud and AI solutions.

• Develop and maintain architectural standards, best practices, and technical frameworks.

• Design scalable cloud infrastructure, applications, and data integration solutions.

• Provide technical guidance on generative AI, conversational AI, automation, and machine learning technologies.

• Oversee technical design reviews, code reviews, and architecture assessments.

• Establish software development lifecycle (SDLC), DevOps, and CI/CD best practices.

• Guide cloud security, networking, identity management, and infrastructure automation initiatives.

• Mentor architects, engineers, and development teams.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Evaluate emerging technologies and recommend improvements to existing systems and processes.

• Serve as a technical advisor to internal stakeholders and external clients.

• Support multiple concurrent projects while ensuring architectural consistency and technical quality.

Required Qualifications

• 7+ years of experience in software engineering, systems design, or enterprise architecture.

• 5+ years of experience designing and implementing enterprise cloud solutions.

• 3+ years of experience with AI, conversational AI, or intelligent automation platforms.

• Experience with major cloud platforms, preferably Google Cloud Platform (GCP).

• Strong understanding of generative AI, large language models (LLMs), and AI integration frameworks.

• Experience with cloud-native technologies, microservices, containerization, and distributed systems.

• Proficiency in infrastructure as code (IaC), CI/CD pipelines, and DevOps practices.

• Knowledge of APIs, enterprise integrations, cloud networking, and security best practices.

• Experience conducting architecture reviews and providing technical leadership.

• Strong problem-solving, communication, and stakeholder management skills.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.

Preferred Qualifications

• Professional cloud architecture certifications.

• Experience with Google Cloud AI and machine learning services.

• Familiarity with AI agents, retrieval-augmented generation (RAG), and conversational AI platforms.

• Experience with Terraform, Kubernetes, and modern development frameworks.

• Background in consulting, professional services, or enterprise technology environments.

• Experience mentoring technical teams and working with executive stakeholders.