Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers.
Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape.
As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals.
We are currently searching for a Senior Cloud & AI Solution Architect:
Responsibilities:
- Lead the definition and execution of the enterprise Cloud (Multi/Hybrid) and Artificial Intelligence/Machine Learning (AI/ML) strategy and roadmap.
- Design scalable, secure, and cost-effective end-to-end cloud solutions, ensuring alignment with business objectives and architectural best practices.
- Act as the technical authority and primary liaison between business stakeholders, product teams, and engineering teams, translating business requirements into technical specifications.
- Identify and mitigate architectural risks, ensuring all solutions comply with industry regulations, security policies, and performance standards.
- Drive the evaluation and adoption of emerging cloud services, AI platforms, and new technologies to maintain a competitive edge.
Requirements:
- Total IT Experience: 8+ years
- Specific Architecture/Design Experience: 5+ years
- Cloud Platform Experience: 4+ years
- AI/ML Strategy & Implementation: 3+ years
- Cloud Platforms: Deep expertise in one or more major Public Cloud Providers (AWS, Microsoft Azure, or Google Cloud Platform (GCP)).
- AI/ML: Proven experience with AI/ML platforms, model deployment (MLOps), and data science toolsets.
- Containerization & Orchestration: Expertise with Kubernetes (K8s), Docker, and Serverless technologies (e.g., AWS Lambda, Azure Functions).
- DevOps/Infra-as-Code (IaC): Proficiency in Terraform and Ansible for automated infrastructure deployment.
- Architecture Frameworks: Strong command of architectural principles and patterns (e.g., TOGAF, SABSA, or similar).
Languages
- Advanced Oral English.
- Native Spanish.
Note:
- Fully remote.
If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/
Requirements:
- Total IT Experience: 8+ years
- Specific Architecture/Design Experience: 5+ years
- Cloud Platform Experience: 4+ years
- AI/ML Strategy & Implementation: 3+ years
- Cloud Platforms: Deep expertise in one or more major Public Cloud Providers (AWS, Microsoft Azure, or Google Cloud Platform (GCP)).
- AI/ML: Proven experience with AI/ML platforms, model deployment (MLOps), and data science toolsets.
- Containerization & Orchestration: Expertise with Kubernetes (K8s), Docker, and Serverless technologies (e.g., AWS Lambda, Azure Functions).
- DevOps/Infra-as-Code (IaC): Proficiency in Terraform and Ansible for automated infrastructure deployment.
- Architecture Frameworks: Strong command of architectural principles and patterns (e.g., TOGAF, SABSA, or similar).
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