AI Solutions Architect - Finance

Placements24; Johannesburg; Hybrid; ZAR 1.200.000 - 2.000.000; Vollzeit

Benefits dieser Stelle

Highly competitive salary package

Annual performance bonuses

Medical aid

Life insurance

Retirement annuity

Continuous professional development

Zusammenfassung

Placements24 in Johannesburg seeks an innovative AI Solutions Architect to design, develop and implement cutting-edge AI solutions for financial services. You will lead the technical vision for AI initiatives, ensure scalable, secure designs, and align with business goals in a hybrid working model.

The role requires 8+ years in software architecture, 5+ years in AI/ML, expertise in TensorFlow/PyTorch/Keras, and familiarity with cloud AI services.

Qualifikationen

• Master's or PhD in CS, AI, ML, or related field.
• 8+ years in software architecture, 5+ years in AI/ML.
• Experience delivering AI systems in large enterprises, preferably finance.
• Familiar with cloud AI services (AWS/Azure/GCP).

Aufgaben

• Design end-to-end AI solutions for financial applications.
• Collaborate with stakeholders to define AI requirements and roadmaps.
• Evaluate and select AI/ML technologies, platforms, and tools.
• Develop blueprints and technical specifications for AI systems.
• Oversee integration of AI models into financial systems.
• Ensure AI solutions adhere to security and regulatory standards.
• Provide technical leadership to development teams.
• Conduct POCs and build prototypes to validate AI approaches.
• Monitor and optimize performance of deployed AI solutions.
• Stay current with emerging AI trends and assess applicability.

Kenntnisse

AI/ML architecture

Cloud platforms

Big data

MLOps

Communication skills

Ausbildung

Masters/PhD in CS/AI

Tools

TensorFlow

PyTorch

Keras

Jobbeschreibung

About the Role

Our client, a major financial institution based in Johannesburg, Gauteng, ZA , is seeking an innovative and experienced AI Solutions Architect. This role is pivotal in designing, developing, and implementing cutting‑edge artificial intelligence solutions to transform their financial services. You will work at the intersection of finance and technology, leveraging AI to enhance customer experience, optimize trading strategies, detect fraud, and improve risk management. The successful candidate will lead the technical vision for AI initiatives, ensuring solutions are scalable, secure, and aligned with business objectives. This is a Hybrid role, offering a blend of in‑office collaboration and remote flexibility.

Key Responsibilities

• Design end‑to‑end AI solutions for various financial applications, including machine learning, deep learning, NLP, and generative AI.
• Collaborate with business stakeholders, product managers, and data scientists to define AI requirements and roadmaps.
• Evaluate and select appropriate AI/ML technologies, platforms, and tools for implementation.
• Develop architectural blueprints and technical specifications for AI systems.
• Oversee the development and integration of AI models into existing financial systems.
• Ensure AI solutions adhere to security, compliance, and regulatory standards within the financial industry.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Conduct proof‑of‑concepts (POCs) and build prototypes to validate new AI approaches.
• Monitor and optimize the performance of deployed AI solutions.
• Stay current with emerging AI trends and technologies and assess their applicability to the financial sector.
• Mentor junior architects and engineers on AI best practices.

Requirements

• Master's degree or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
• Minimum of 8 years of experience in software architecture, with at least 5 years focused on AI/ML solutions.
• Deep understanding of AI/ML algorithms, frameworks (e.g., TensorFlow, PyTorch, Keras), and deployment strategies.
• Proven experience in architecting and delivering complex AI systems in a large enterprise setting, preferably within finance.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong knowledge of data engineering principles, big data technologies, and MLOps.
• Excellent understanding of financial services domain, including trading, risk management, and regulatory requirements.
• Exceptional problem‑solving, analytical, and communication skills.
• Ability to translate complex technical concepts into clear business value propositions.
• Experience working in a Hybrid work model is essential.

Benefits

• highly competitive salary package
• annual performance bonuses
• medical aid
• life insurance
• retirement annuity
• continuous professional development opportunities, including advanced training, certifications, and conference attendance