AI Solutions Architect - Cloud Infrastructure

Placements24; George; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary package and bonuses

Hybrid work arrangement

Professional growth and certifications

Retirement savings plan

Paid time off and holidays

Employee assistance program

Job summary

Placements24 in George, Western Cape, seeks an AI Solutions Architect to design and implement robust AI solutions within complex cloud environments. You will collaborate with data scientists, engineers and business stakeholders to translate requirements into scalable cloud architectures, lead technical direction, ensure security, cost efficiency, and smooth integration with existing systems.

This role demands strategic thinking, hands-on experience with AWS/Azure/GCP AI services, and the ability

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Master's degree preferred.
• Proven experience as a Solutions Architect with a focus on cloud infrastructure.
• In-depth knowledge of at least one major cloud platform (AWS, Azure, or GCP) and its AI/ML services.
• Solid understanding of AI and ML concepts, algorithms, and workflows.
• Experience designing and implementing MLOps pipelines and CI/CD for AI models.
• Proficiency in scripting languages (Python, Bash) and infrastructure as code tools (Terraform, CloudFormation).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Excellent communication, presentation, and stakeholder management skills.
• Experience working in a hybrid work model and collaborating with distributed teams.

Responsibilities

• Design, develop, and document AI solution architectures on major cloud platforms.
• Collaborate with data science and engineering to define infrastructure for AI model training and deployment.
• Ensure scalability, reliability, security, and cost-effectiveness of AI workloads.
• Provide technical leadership on cloud-native AI services and best practices.
• Evaluate and recommend cloud services and third-party tools for AI initiatives.
• Develop data ingestion, processing, and storage strategies for AI apps.
• Create proofs-of-concept to validate architectural designs.
• Work with security teams to safeguard AI data and models.
• Share knowledge and train engineering teams on cloud AI practices.
• Monitor and optimize deployed AI solutions for performance and resource use.

Skills

Cloud platforms knowledge (AWS/Azure/G

Tools

Terraform

CloudFormation

Docker

Kubernetes

Python

Bash

Job description

About the Role

Our client is at the forefront of integrating artificial intelligence with advanced cloud infrastructure. We are seeking a highly skilled and experienced AI Solutions Architect to design and implement robust AI solutions within complex cloud environments. This role is crucial for bridging the gap between cutting-edge AI technologies and practical, scalable deployment strategies. You will work closely with development teams, data scientists, and business stakeholders to translate intricate requirements into elegant and efficient cloud-based AI architectures. This position, based in George, Western Cape , offers a unique opportunity to lead the technical vision for AI initiatives and ensure their seamless integration with existing systems. This role demands a strategic thinker with a deep understanding of both cloud computing and AI principles, ensuring our client maintains its competitive edge in the rapidly evolving tech landscape.

Key Responsibilities

• Design, develop, and document comprehensive AI solutions architectures on major cloud platforms (AWS, Azure, GCP).
• Collaborate with data science and engineering teams to define infrastructure requirements for AI model training and deployment.
• Ensure the scalability, reliability, security, and cost-effectiveness of AI workloads in the cloud.
• Provide technical leadership and guidance on cloud-native AI services and best practices.
• Evaluate and recommend appropriate cloud services and third-party tools for AI initiatives.
• Develop strategies for data ingestion, processing, and storage within cloud environments for AI applications.
• Create proofs-of-concept and prototypes to validate architectural designs and technical approaches.
• Work with security teams to implement robust security measures for AI data and models in the cloud.
• Facilitate knowledge sharing and provide training to engineering teams on cloud AI best practices.
• Continuously monitor and optimize deployed AI solutions for performance and resource utilization.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• Proven experience as a Solutions Architect or similar role, with a strong focus on cloud infrastructure.
• In-depth knowledge of at least one major cloud platform (AWS, Azure, GCP) and its AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Solid understanding of AI and Machine Learning concepts, algorithms, and workflows.
• Experience designing and implementing MLOps pipelines and CI/CD for AI models.
• Proficiency in scripting languages (e.g., Python, Bash) and infrastructure as code tools (e.g., Terraform, CloudFormation).
• Familiarity with containerization technologies (Docker, Kubernetes).
• Excellent communication, presentation, and stakeholder management skills.
• Ability to analyze complex technical problems and propose effective solutions.
• Experience working in a hybrid work model and collaborating effectively with distributed teams.

Benefits

• Competitive salary package and performance incentives.
• Comprehensive medical, dental, and vision coverage.
• Opportunities for professional growth and certifications in cloud technologies.
• Hybrid work arrangement balancing office and remote flexibility.
• Contribution to impactful AI projects shaping future innovations.
• Access to modern technology and development tools.
• Retirement savings plan.
• Paid time off and public holidays.
• Employee assistance program.
• Regular team-building and social events.