Ai Solutions Architect

About the Role Our client is a leading consultancy firm specializing in digital transformation and advanced technological solutions. We are looking for an innovative and experienced AI Solutions Architect to join our team in **Pietermaritzburg, KwaZulu-Natal, ZA**. In this role, you will be responsible for designing and overseeing the implementation of complex AI and machine learning solutions for a diverse range of clients. You will work at the intersection of business needs and cutting-edge AI technology, translating client requirements into scalable, robust, and effective architectural blueprints. This position offers a hybrid work arrangement, allowing for a blend of on-site collaboration and remote flexibility. You will engage with clients to understand their challenges, propose innovative AI-driven strategies, and guide development teams through the entire solution lifecycle. This is a fantastic opportunity to shape the future of AI adoption across various industries.

Key Responsibilities

• Design end-to-end AI and machine learning solutions that address specific client business problems.
• Collaborate with clients to gather requirements, understand their technical landscape, and identify AI opportunities.
• Develop architectural blueprints, technical designs, and implementation roadmaps for AI systems.
• Evaluate and select appropriate AI/ML technologies, platforms, and tools for client projects.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Ensure solutions are scalable, secure, cost-effective, and aligned with industry best practices.
• Stay updated on emerging AI trends, technologies, and best practices, and incorporate them into solution designs.
• Present complex technical solutions to both technical and non-technical stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as an architect or senior engineer designing and implementing AI/ML solutions.
• Deep understanding of various AI/ML techniques, algorithms, and their applications (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in programming languages commonly used in AI/ML (e.g., Python, R, Java).
• Strong understanding of data architecture, databases, and data pipelines.
• Excellent communication, presentation, and client-facing skills.
• Ability to translate complex business needs into technical solutions.
• Experience with MLOps principles and practices is a significant advantage.

Benefits

• Competitive compensation package with performance-based bonuses.
• Comprehensive health insurance coverage.
• Retirement savings plan with company match.
• Extensive professional development and training opportunities.
• Hybrid work model offering flexibility.
• Exposure to diverse and challenging client projects.
• Collaborative and innovative work environment.
• Travel opportunities for client engagements.

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