About the Role
Our client, a leading enterprise solutions provider, is looking for an experienced AI Solutions Architect with expertise in cloud technologies to join their team in **Stellenbosch, Western Cape**. This role is critical for designing, developing, and implementing scalable and robust AI solutions hosted on major cloud platforms. You will work closely with clients and internal teams to understand their business needs and architect comprehensive AI strategies that leverage machine learning, deep learning, and data analytics. The ideal candidate possesses a strong blend of technical depth in AI/ML and cloud infrastructure, coupled with excellent communication and stakeholder management skills. This is an exceptional opportunity to shape the future of AI adoption for our client's diverse customer base in **Stellenbosch, Western Cape**, and to work at the intersection of cloud computing and artificial intelligence.
Key Responsibilities
- Design and architect end-to-end AI/ML solutions on cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with clients and stakeholders to gather requirements, define AI strategies, and scope projects.
- Lead the technical design and implementation of AI models, data pipelines, and MLOps infrastructure.
- Provide technical guidance and leadership to development teams throughout the project lifecycle.
- Evaluate and recommend appropriate AI services, tools, and technologies for specific client needs.
- Develop proof-of-concepts (POCs) and proofs-of-value (POVs) to demonstrate the feasibility and benefits of AI solutions.
- Ensure solutions are scalable, secure, cost-effective, and adhere to best practices.
- Stay current with advancements in AI, cloud computing, and emerging technologies.
- Present technical designs and solutions to both technical and executive audiences.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in designing and implementing cloud-based solutions, with at least 3 years focused on AI/ML architectures.
- Deep understanding of major cloud platforms (AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
- Proven experience with MLOps principles and tools for CI/CD, model deployment, and monitoring.
- Strong knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and data science concepts.
- Experience with data engineering, data warehousing, and big data technologies.
- Excellent problem-solving, analytical, and architectural design skills.
- Strong communication, presentation, and client-facing skills.
- Relevant cloud certifications (e.g., AWS Certified Machine Learning, Azure Data Scientist) are a plus.
Benefits
- Highly competitive salary and bonus structure.
- Comprehensive medical, dental, and vision insurance.
- Generous paid time off and flexible working arrangements.
- Opportunities for continuous learning, certifications, and conference attendance.
- A dynamic and innovative work environment in **Stellenbosch, Western Cape**.
- The chance to work on cutting-edge AI and cloud projects with significant impact.
- Career growth opportunities within a leading technology consultancy.