Tech Lead Engineering - AI & Automation

Purpose of the Role

• The Tech Lead Engineering – AI and Automation is the technical anchor for how Sanlam Corporate designs, builds and runs AI and automation solutions. Leading a team of engineers, this leader is responsible for turning AI and automation opportunities into secure, production-grade solutions that remove manual effort, improve client and member experience, and lift the productivity of our people.
• Key responsibilities include setting the engineering standards, reference architectures and reusable patterns for generative AI, AI agents, intelligent document processing and process automation. The tech lead stays hands-on: designing solutions, reviewing code, unblocking engineers and taking ideas from proof of concept to scaled production with the right evaluation, monitoring and controls in place.
• In addition to delivery, this role acts as a trusted technical partner to business, product, architecture, data, risk and Group AI teams, helping to shape and prioritise the AI and automation backlog based on value, feasibility and risk. The tech lead ensures that solutions align with the Sanlam Corporate and Group technology strategy and meet our obligations around responsible AI, data privacy (POPIA) and regulatory requirements.
• Ultimately, the Tech Lead Engineering – AI and Automation serves as the engine room of the AI rollout, building the capability, platforms and engineering culture that allow Sanlam Corporate to adopt AI safely and at scale.

• Leads, coaches and grows a team of AI, automation and software engineers, including recruitment, performance management and skills development.
• Defines and maintains engineering standards, reference architectures and reusable components for AI and automation solutions.
• Designs and builds solutions using large language models (LLMs), retrieval-augmented generation (RAG), AI agents and integrations with enterprise systems and APIs.
• Drives intelligent automation of business processes, including workflow automation, RPA and intelligent document processing across administration, claims, underwriting and client servicing.
• Takes solutions from proof of concept to production, ensuring they are secure, scalable, observable and supportable.
• Establishes MLOps/LLMOps practices, including CI/CD, model and prompt versioning, automated evaluation, monitoring and cost tracking.
• Embeds responsible AI controls such as human-in-the-loop design, guardrails, accuracy and bias testing, explainability and audit trails, in line with Group AI governance, POPIA and regulatory requirements.
• Partners with business units and product owners to identify, size and prioritise AI and automation use cases based on value, feasibility and risk.
• Works with enterprise architecture, data, security and infrastructure teams to ensure solutions integrate cleanly with core systems and cloud platforms.
• Collaborates with Group AI and other Sanlam clusters to reuse shared platforms and patterns and avoid duplication.
• Evaluates AI and automation tools and platforms, and manages relationships with technology vendors and partners.
• Tracks and reports on delivery progress, adoption and benefits realised (for example hours saved, turnaround times and cost).
• Brings in outward trends in AI and automation to influence business and technology strategy.
• Builds AI literacy and engineering capability across IT through communities of practice, demos and mentoring.

Overview of Role Responsibilities (Level 1-13)

Enterprise Architecture- Level 6 - Adaptation

• Maintain an established set of enterprise architecture artifacts.

Enterprise Infrastructure Modernization- Level 6 - Adaptation

• Deliver digital solution architecture services as assigned, preparing conceptual and logical architecture diagrams to align technical direction and document future-state architectures.

Business Requirements Identification- Level 6 - Adaptation

• Collect business requirements using a variety of methods, such as interviews, document analysis, workshops, and workflow analysis, to express the requirements in terms of target user roles and goals.

Analysis of "As Is" and "To Be"- Level 6 - Adaptation

• Document "as is" and "to be" processes and describe the changes required to migrate to the "to be" capability to record accurately the change required.

Technical Developments Recommendation- Level 6 - Adaptation

• Discuss and recommend technical developments to improve the quality of the used technology, such as systems, processes, infrastructure, installations and machines.

• Degree in Computer Science, Engineering, Information Systems or a related field is advantageous.
• 8+ years’ software engineering experience, including at least 3 years in a technical lead or team lead role.
• Proven experience delivering AI/ML or generative AI solutions into production.
• Experience delivering process automation (RPA, workflow or low-code platforms).
• Cloud certification (e.g. Azure or AWS) is advantageous.
• Financial services or insurance industry experience is advantageous.

Technical Competencies:

• Strong software engineering skills in Python and at least one of C#, Java or TypeScript, including API design and microservices.
• Hands-on experience with LLMs and generative AI: prompt engineering, RAG, vector databases, agent orchestration and evaluation frameworks.
• Experience with automation and orchestration platforms (e.g. UiPath, Power Automate or similar).
• Cloud-native development and AI services on a major cloud platform, including containers, DevOps and CI/CD.
• Data engineering fundamentals: data pipelines, data quality, and working with structured and unstructured data.
• Security and governance for AI, including identity and access, data protection, model risk and POPIA.
• Solution architecture and design, with sound judgement on build, buy and reuse trade-offs.
• Leadership experience in managing cross-functional engineering teams and influencing senior management and key stakeholders

• Collaborative and open minded.
• Hands-on leader who leads by example and is comfortable in the code.
• Pragmatic and outcome-focused: delivers value in small increments and learns fast.
• Has integrity and delivers on committed tasks and initiatives.
• Good communicator who can explain AI concepts to non-technical audiences, verbally and visually.
• Sound ethical judgement on the responsible use of AI and data.
• Inquisitive about technology trends and self-motivated to continuous learning and personal development.
• Ability to take ambiguity and clarify for self and others.
• Invests in coaching and mentoring others to grow the team’s capability.

Required Skills

Architecture - Advanced

• Works at an advanced level to design architectures, incorporating system/service requirements. Typically works independently and provides guidance.

Enterprise application integration - Advanced

• Works at an advanced level to integrate different software systems and platforms within an organization, enabling seamless data exchange and communication between various applications to improve operational efficiency and data consistency. Typically works independently and provides guidance.

Network/IT security - Fully Competent

• Works with full competence to maintain system/service and information security, integrity, compliance and continuity. Typically works without supervision and may provide technical guidance.

Business Requirements Analysis - Fully Competent

• Works with full competence to express user needs in terms of business requirements, identify current capability of the business to deliver, conduct build or buy analyses, and recommend preferred approach. Typically works without supervision and may provide technical guidance.

Analyze Current State/AS-IS State - Advanced

• Works at an advanced level to understand business context, needs, rules, and architecture, as well as organizational structure, cultures, capabilities, and processes to document the current state of processes and the business. Typically works independently and provides guidance.

Define Future State/TO-BE State - Fully Competent

• Works with full competence to envision and document the future state of processes and products by identifying the solution scope, potential value of the future state, and the changes to the process, products, organization infrastructure, capabilities, and technology necessary to achieve the desired future state. Typically works without supervision and may provide technical guidance.

Required Behavioural Competencies

• Manages Complexity
• Optimises Work Processes
• Tech Savvy
• Business Insight
• Drives Results

Closing date is 6th Nov 2026