AI Solutions Architect - Cloud Platforms

Placements24; Willows (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Highly competitive salary

Health, dental, and vision insurance

Remote work stipend

Unlimited paid time off

Professional development & conferences

Stock options and bonuses

Job summary

Placements24 seeks an experienced AI Solutions Architect to design scalable, cloud-native AI solutions for a remote-first workforce. You will translate client requirements into robust architectures, leveraging AI/ML, cloud platforms, and MLOps across diverse geographies.

You will lead design discussions, develop blueprints, and collaborate with data scientists and engineers to deliver secure, cost-effective solutions while staying current with industry trends and best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of software architecture experience with a focus on AI/ML solutions.
• Deep knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proven experience designing MLOps pipelines and lifecycle management.
• Strong knowledge of AI/ML techniques and their applications.
• Experience with Docker and Kubernetes.
• Excellent data engineering fundamentals and communication skills.
• Cloud certifications are a plus.

Responsibilities

• Design end-to-end AI/ML solutions leveraging cloud platforms (AWS, Azure, GCP).
• Develop technical blueprints and architecture diagrams for AI-powered apps and services.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements into architectures.
• Define MLOps strategies for deployment, monitoring, and lifecycle management.
• Evaluate AI/ML technologies, tools, and frameworks for client needs.
• Provide technical leadership on AI projects from concept to implementation.
• Ensure solutions are scalable, secure, and cost-efficient.
• Stay updated with AI trends and cloud technologies.
• Develop proofs-of-concept to validate designs.
• Contribute to pre-sales with solution design and client presentations.

Skills

AI/ML architecture

Cloud platforms

MLOps pipelines

Docker

Kubernetes

Data engineering

Communication

Remote work

Problem solving

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

CI/CD tooling

ML frameworks

Job description

About the Role

Our client is a cutting-edge technology firm seeking an experienced AI Solutions Architect to join their fully remote workforce. This role is crucial in designing and implementing scalable, cloud-native AI solutions that address complex business challenges. You will be responsible for translating client requirements into robust technical architectures, leveraging your expertise in AI/ML, cloud platforms, and MLOps. As a remote-first company, we encourage collaboration and innovation across geographical boundaries, providing a dynamic environment for our team members in **Welkom, Free State, ZA**, and beyond. This is an excellent opportunity to shape the future of AI deployment and drive digital transformation.

Key Responsibilities

• Design end-to-end AI/ML solutions leveraging cloud platforms (AWS, Azure, GCP).
• Develop technical blueprints and architecture diagrams for AI-powered applications and services.
• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and propose optimal solutions.
• Define MLOps strategies and best practices for model deployment, monitoring, and lifecycle management.
• Evaluate and recommend appropriate AI/ML technologies, tools, and frameworks.
• Provide technical leadership and guidance on AI projects from conception through to implementation.
• Ensure solutions are scalable, secure, and cost-effective.
• Stay current with emerging AI trends, cloud technologies, and industry best practices.
• Develop proofs-of-concept and prototypes to validate architectural designs.
• Contribute to pre-sales activities, including solution design and client presentations.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience (7+ years) in software architecture, with a significant focus on AI/ML solutions.
• Deep understanding of cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
• Proven experience in designing and implementing MLOps pipelines and practices.
• Strong knowledge of various AI/ML techniques, algorithms, and their applications.
• Experience with containerization technologies (Docker, Kubernetes).
• Excellent understanding of data engineering principles and practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and effectively manage multiple priorities in a remote setting.
• Relevant cloud certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Engineer Associate) are a plus.

Benefits

• Highly competitive salary package.
• Comprehensive health, dental, and vision insurance.
• Generous remote work stipend and home office setup allowance.
• Unlimited paid time off.
• Significant opportunities for professional development, certifications, and conference attendance.
• Access to cutting-edge technology and challenging projects.
• Collaborative and innovative remote-first culture.
• Stock options and performance bonuses.