AI Solutions Architect - Cloud & ML Integration

Placements24; Vereeniging; Hybrid; ZAR 1,000,000 - 1,900,000; Full time

Benefits offered by this job

Health benefits

Remote work

Home office stipend

Certifications

Learning resources

Retirement plan

Job summary

Placements24 is seeking an AI Solutions Architect to design and implement scalable AI/ML solutions on cloud platforms in a remote-first setting. You will collaborate with clients and internal teams to translate requirements into robust end-to-end architectures.

The ideal candidate brings 5+ years in software architecture with deep cloud and AI/ML expertise, plus strong Python/Java/Scala skills and MLOps experience.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years in software architecture with focus on cloud & AI/ML solutions.
• Strong understanding of cloud platforms (AWS/Azure/GCP).
• Experience designing end-to-end ML pipelines.
• Proficiency in Python, Java, or Scala.
• Familiarity with containerization and CI/CD.
• Knowledge of ML algorithms, frameworks, and MLOps.
• Excellent communication and teamwork in a remote setup.

Responsibilities

• Design and architect scalable, secure, and cost-effective AI/ML solutions on AWS, Azure, and GCP.
• Gather requirements, define project scope, and translate business needs into technical designs.
• Lead integration of AI/ML models into enterprise systems and applications.
• Develop data pipelines, training infrastructure, and deployment strategies.
• Provide technical leadership to development teams throughout the project lifecycle.
• Evaluate cloud services and AI tools; recommend suitable technologies.
• Ensure security, performance, reliability, and governance best practices.
• Create architectural diagrams, documentation, and stakeholder-ready presentations.
• Stay updated on cloud and AI tech trends and innovations.
• Troubleshoot complex deployment challenges in cloud AI environments.

Skills

Python

Java

Scala

ML Pipelines

MLOps

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Cloud Architecture

Communication

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Docker

Kubernetes

CI/CD tools

Job description

About the Role

Our client, a prominent player in the AI & Emerging Technologies sector, is seeking a skilled AI Solutions Architect to join their fully remote workforce. This role is instrumental in designing and implementing scalable, robust AI and machine learning solutions on cloud platforms. You will work closely with clients and internal teams to understand complex requirements and architect end-to-end solutions that leverage the power of AI. As a remote-first organization, we foster a culture of autonomy, collaboration, and innovation, empowering our team members to deliver exceptional results from anywhere. If you are a visionary architect with a deep understanding of cloud infrastructure and AI/ML pipelines, and you thrive in a distributed work environment, this opportunity is ideal for you. Join our client and help shape the future of cloud-based AI solutions for a diverse range of industries.

Key Responsibilities

Design and architect scalable, secure, and cost-effective AI/ML solutions on major cloud platforms (AWS, Azure, GCP).

Collaborate with stakeholders to gather requirements, define project scope, and translate business needs into technical solutions.

Lead the integration of AI/ML models into existing enterprise systems and applications.

Develop comprehensive solution designs, including data pipelines, model training infrastructure, and deployment strategies.

Provide technical leadership and guidance to development teams throughout the project lifecycle.

Evaluate and recommend appropriate cloud services, AI/ML tools, and technologies.

Ensure solutions adhere to best practices for security, performance, reliability, and governance.

Create architectural diagrams, documentation, and presentations to communicate solutions to technical and non-technical audiences.

Stay abreast of emerging cloud and AI technologies and trends.

Troubleshoot and resolve complex technical challenges in cloud AI deployments.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.

Extensive experience (5+ years) in software architecture, with a significant focus on cloud platforms and AI/ML solutions.

Deep understanding of cloud computing concepts and services (AWS, Azure, or GCP).

Proven experience in designing and implementing end-to-end machine learning pipelines.

Proficiency in programming languages such as Python, Java, or Scala.

Familiarity with containerization technologies (Docker, Kubernetes) and CI/CD practices.

Strong knowledge of various ML algorithms, frameworks, and MLOps principles.

Excellent communication, presentation, and interpersonal skills.

Ability to work effectively in a fully remote, collaborative team environment.

Strong problem-solving and analytical capabilities.

Must be eligible to work remotely from your location.

Benefits

Competitive salary and performance incentives.

Comprehensive health and wellness benefits package.

Full flexibility of remote work with adjustable hours.

Generous allowance for home office equipment and internet.

Opportunities for professional certification and advanced training.

Exposure to innovative AI projects across various sectors.

Contribution to a company culture that values innovation and collaboration.

Regular virtual team events and knowledge-sharing sessions.

Access to a wide range of learning resources and development programs.

Retirement savings plan.