AI Platform Architect
Tech Stack / Keywords
Firma i stanowisko
Andersen is hiring an AI Platform Architect (MLOps/DevOps) for a project designing a scalable AI platform and enabling secure, reliable healthcare AI operations. The customer is a global consulting and advisory firm that works with clients from multiple industries on business performance, operational challenges, and strategic transformation through data-driven insights and multidisciplinary consulting services. The project focuses on designing a scalable AI platform architecture to support a large-scale healthcare AI transformation, including defining MLOps and DevOps capabilities, assessing infrastructure, and creating roadmaps for AI operations.
Wymagania
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
- 7+ years of experience in platform engineering, DevOps, or cloud architecture.
- Experience designing enterprise CI/CD architectures.
- Strong expertise in Microsoft Azure.
- Experience with MLflow.
- Hands-on experience with Docker and Kubernetes.
- Experience developing Infrastructure as Code using Terraform.
- Strong automation and scripting skills.
- Excellent communication and consulting skills.
- English level from Upper-Intermediate+ and above.
Nice to have:
- Experience with GitHub Actions.
- Proficiency in Azure DevOps.
- Knowledge of enterprise monitoring and observability platforms.
- Experience designing AI or machine learning platform architectures.
Obowiązki
- Assess current cloud infrastructure, deployment processes, and operational capabilities.
- Define the future-state AI platform architecture supporting enterprise AI workloads.
- Recommend scalable deployment, security, and operational patterns for AI solutions.
- Evaluate technology options supporting enterprise AI operations.
- Develop architectural recommendations for CI/CD pipelines supporting AI development.
- Define Infrastructure as Code (IaC) standards utilizing Terraform.
- Design target-state deployment architectures leveraging Azure, Docker, and Kubernetes.
- Recommend model lifecycle management and deployment strategies utilizing MLflow.
- Develop recommendations for monitoring, observability, logging, and operational governance.
- Define release management, environment management, and platform support models.
- Recommend operational standards supporting secure AI deployments.
- Produce implementation roadmaps supporting AI platform modernization.
- Identify technical dependencies, sequencing, and platform readiness requirements.
- Support architecture reviews and technology evaluations.
- Partner with AI Architects and Data Architects to develop integrated platform recommendations.
- Facilitate technical workshops with infrastructure and engineering teams.
- Produce architecture documentation and executive-ready deliverables supporting implementation planning.
Benefity
- Opportunity to work with leaders in FinTech, Healthcare, Retail, Telecom, and other industries.
- Flexibility to work fully remotely, from the office, or hybrid.
- Systems of mentoring and adaptation for new employees.
- Potential to earn an additional 1,000 USD monthly bonus based on expertise.
- Access to a corporate training portal with comprehensive knowledge base.
- Corporate events including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies.
- Certification compensation (AWS, PMP, etc.).
- Referral program.
- Private health insurance and compensation for sports activities.
Inne informacje
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