AI Solutions Engineer at Hollywoodbets

Responsibilities

• We have amazing opportunities for an AI Solutions Engineer to be based in Umhlanga. Do you think you have what it takes to be our newest Purple Star?
• The AI Solutions Engineer plays a pivotal role in driving the strategic implementation of artificial intelligence across the organization. This position is responsible for architecting and delivering robust AI solutions that address complex business challenges, enhance operational efficiency, and improve customer experiences.
• A key aspect of this role involves engaging directly with business stakeholders to gain a deep understanding of operational pain points, process inefficiencies, and strategic objectives.
• By translating these insights into actionable AI-driven solutions, the AI Solutions Engineer ensures that technology initiatives are not only technically sound but also aligned with long-term business goals.
• This includes identifying opportunities for automation, predictive analytics, and intelligent decision support systems that streamline operations and create measurable value.

You bring:

• 3+ years of hands-on experience in designing, developing, and deploying AI/ML solutions in a production environment
• Solid understanding of data structures, algorithms, and software engineering principles 
• Experience in architecting end-to-end AI solutions, from data ingestion to model deployment and monitoring
• Strong communication and interpersonal skills, with the ability to engage and influence both technical and non-technical stakeholders.

A bonus to have:

• Diploma/Degree - Computer Science, Data Science, Engineering, or a related technical field
• Experience in a Contact Centre / Customer Service environment
• Exposure to agile methodologies and cross-functional product development environments
• Prior experience mentoring junior engineers or leading technical initiatives.

What You’ll Do For The Brand:

 AI Solution Design & Architecture

• Lead the end-to-end design of AI and machine learning solutions that address specific business challenges, ensuring scalability, maintainability, and performance.
• Define architectural standards and best practices for AI systems, including data ingestion, model training, deployment, and monitoring.
• Evaluate and select appropriate tools, frameworks, and platforms to support solution development, balancing innovation with operational stability.

Stakeholder Engagement & Business Alignment

• Collaborate closely with business stakeholders, product owners, and operational teams to understand pain points, inefficiencies, and strategic objectives.
• Translate business requirements into well-defined technical specifications and AI use cases that align with long-term organizational goals.
• Act as a trusted advisor to business units, helping them identify opportunities where AI can drive measurable impact and competitive advantage.

Model Development, Training & Deployment

• Design, build, and train machine learning models using structured and unstructured data from various sources.
• Implement robust validation, testing, and performance tuning processes to ensure model accuracy, fairness, and reliability.
• Deploy models into production environments using ML Ops practices, ensuring continuous integration, delivery, and monitoring.

Data Engineering & Integration

• Collaborate with data engineering teams to ensure the availability, quality, and governance of data used in AI solutions.
• Design and implement data pipelines that support real-time and batch processing for AI applications.
• Integrate AI models with existing systems, APIs, and user interfaces to deliver seamless end-user experiences.

Innovation, Research & Strategy

• Stay abreast of the latest advancements in AI, machine learning, and data science, and assess their applicability to the organization.
• Lead exploratory projects and proof-of-concepts to evaluate new technologies and methodologies.
• Contribute to the development of the organization’s AI roadmap and strategic initiatives.

Cross-Functional Collaboration

• Work in close partnership with software engineers, data scientists, DevOps, and UX teams to ensure cohesive solution delivery.
• Participate in agile ceremonies, sprint planning, and backlog grooming to align AI initiatives with product development cycles.
• Ensure that AI solutions are designed with security, compliance, and ethical considerations in mind.

Mentorship & Technical Leadership

• Provide technical leadership and mentorship to junior engineers and data scientists, fostering a culture of learning and innovation.
• Conduct code reviews, design sessions, and knowledge-sharing workshops to elevate team capabilities.
• Champion best practices in AI development, including documentation, reproducibility, and responsible AI principles.

Ad-hoc 

• Assume and perform other duties and responsibilities not specifically outlined herein but which are logically and properly inherent to the position.

What You’ll Bring To The Team:

• Technical Expertise
• AI solutions architecture
• Systems Integrations
• Business and strategic acumen
• Strong communication skills.
• Leadership
• Innovation.

Apply Before 01/05/2026