Lead AI Solutions Architect

Placements24; Willows (CA); On-site; USD 108,000 - 192,000; Full time

Benefits offered by this job

Competitive pay

Medical aid

Provident fund

Certifications support

Generous annual leave

Collaborative work environment

Job summary

Placements24 is seeking a visionary Lead AI Solutions Architect to design and implement scalable AI architectures that drive strategic business outcomes. You will lead end-to-end AI/ML initiatives, guiding data-driven decision making and partnering with data scientists, engineers, and business stakeholders.

The role requires deep expertise in AI technologies, cloud services, and modern data architecture, with a focus on governance, security, and scalable delivery.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
• Extensive experience designing and implementing complex enterprise AI/ML/data engineering solutions.
• Proven experience with AWS, Azure, or Google Cloud and their AI/ML services.
• Strong understanding of ML algorithms, statistical modeling, and data processing techniques.
• Proficiency in Python, Java, or Scala.
• Experience with big data (Spark, Hadoop) and SQL/NoSQL databases.
• Excellent architectural design and technical documentation skills.
• Exceptional communication and stakeholder management skills.
• Experience with MLOps for production ML deployment.

Responsibilities

• Lead design and architecture of end-to-end AI/ML solutions from data ingestion to deployment and monitoring.
• Collaborate with stakeholders, data scientists, and engineering teams to translate requirements into architecture.
• Evaluate and select AI/ML technologies, platforms, and tools for scalability and cost-effectiveness.
• Develop proofs-of-concept to validate architectural approaches and business value.
• Define best practices and standards for AI development, deployment, and governance.
• Provide technical leadership and mentorship across AI lifecycle.
• Stay updated on AI, cloud computing, and data architecture trends to enhance capabilities.
• Manage and mitigate technical risks in AI solution implementations.

Skills

AI architecture

Cloud platforms

ML algorithms

Education

Bachelor's/Master's in CS/Engineering

Tools

AWS / Azure / GCP

Python/Java/Scala

Spark / Hadoop

Job description

About the Role

Our client is at the forefront of integrating advanced AI and machine learning solutions into diverse business operations, and we are looking for a visionary Lead AI Solutions Architect to drive this critical initiative. This role is central to designing and implementing robust, scalable, and innovative AI architectures that will empower our client's strategic goals. You will be a key player in defining the technological roadmap for AI adoption, ensuring alignment with business objectives and industry best practices. The ideal candidate possesses a deep understanding of AI technologies, a strategic mindset, and a passion for leveraging data to solve complex problems. This is a fantastic opportunity to make a significant impact on a growing business in Welkom, Free State, ZA.

Key Responsibilities

• Lead the design and architecture of end-to-end AI and machine learning solutions, from data ingestion and processing to model deployment and monitoring.
• Collaborate closely with business stakeholders, data scientists, and engineering teams to understand requirements and translate them into technical specifications and architectural designs.
• Evaluate and select appropriate AI/ML technologies, platforms, and tools to meet project needs and ensure scalability and cost-effectiveness.
• Develop proof-of-concepts (POCs) and prototypes to validate architectural approaches and demonstrate the value of proposed AI solutions.
• Define best practices and standards for AI development, deployment, and operationalization, ensuring compliance with security and governance policies.
• Provide technical leadership and mentorship to engineering and data science teams throughout the AI lifecycle.
• Stay updated with the latest advancements in AI, cloud computing, and data architecture trends, and apply this knowledge to enhance our client's capabilities.
• Manage and mitigate technical risks associated with AI solution implementations.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Extensive experience in designing and implementing complex enterprise-level solutions, with a significant focus on AI, machine learning, and data engineering.
• Proven experience with cloud platforms such as AWS, Azure, or Google Cloud, including their AI/ML services.
• Strong understanding of various machine learning algorithms, statistical modeling, and data processing techniques.
• Proficiency in programming languages commonly used in AI/ML, such as Python, Java, or Scala.
• Experience with big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL).
• Excellent architectural design skills, with the ability to create clear, comprehensive technical documentation.
• Exceptional communication, presentation, and stakeholder management skills.
• Experience with MLOps principles and tools for deploying and managing machine learning models in production.

Benefits

• attractive salary and potential for bonuses
• comprehensive medical aid plan
• provident fund
• opportunities for professional development and certifications
• generous annual leave
• collaborative work environment that fosters innovation