Lead Product Engineer – AI No Code

Jobtailor

Sandton

On-site

ZAR 1,200,000 - 2,000,000

Full time

8 days ago
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Job summary

Jobtailor seeks an experienced enterprise leader to set and execute a strategy for responsible AI, generative AI, and low-code platforms. You will govern delivery capabilities with measurable business value and define the operating model, roadmap, and investment priorities.

You will lead AI engineers and platform teams, manage a diverse use-case portfolio, and ensure governance, security, and regulatory compliance across projects.

Qualifications

  • Senior enterprise leadership experience.
  • Proven transition of AI or low-code solutions into secure production.
  • Strong knowledge of generative AI, AI agents, orchestration, modern SDLC, DevSecOps, APIs and event-driven integration.
  • Bachelor's Degree in Information Technology.

Responsibilities

  • Set and execute the strategy for responsible AI agents, generative AI, low-code and no-code capabilities.
  • Convert emerging technology into governed, reusable delivery capabilities with measurable business value.
  • Define the operating model, capability roadmap, investment priorities and use-case portfolio.

Skills

Generative AI
AI Orchestration
Low-Code Solutions
Event-Driven Integration
Modern SDLC
APIs
Governance Frameworks
Production Transition
Performance Measurement
Use-Case Portfolio Management
Financial Planning

Education

Bachelor's Degree in Information Technology

Job description

  • Set and execute the strategy for responsible AI agents, generative AI, low-code and no-code capabilities
  • Convert emerging technology into governed, reusable delivery capabilities with measurable business value
  • Define the operating model, capability roadmap, investment priorities and use-case portfolio
  • Prioritise use cases across software delivery, testing, operations, colleague enablement and customer journeys
  • Establish reusable agent, prompt, component, integration and reference implementation patterns
  • Drive AI-enabled practices across analysis, design, coding, testing, documentation, release and operations
  • Transition prototypes into maintainable, observable and supportable production services
  • Embed responsible AI, privacy, cyber security, data, model risk, legal, records and regulatory controls
  • Define human-in-the-loop controls, decision rights, testing, monitoring, incident response and retirement requirements
  • Prevent uncontrolled proliferation, shadow delivery and vendor lock-in through approved platforms and patterns
  • Maintain evidence of agent and model quality, performance, traceability and control effectiveness
  • Lead AI engineers, low-code specialists, platform owners, change practitioners and delivery partners
  • Own financial plans, strategic suppliers, talent, delivery performance and executive reporting
  • Measure success through adoption, realised benefits, delivery speed, cost reduction, solution reliability and reuse
  • Confirm the mandate, publish the strategy and roadmap, establish governance, deliver high-value outcomes and build sustainable capability
Requirements
  • Senior enterprise leadership experience
  • Proven transition of AI or low-code solutions into secure production
  • Strong knowledge of generative AI, AI agents, orchestration, modern SDLC, DevSecOps, APIs and event-driven integration
  • Bachelor's Degree in Information Technology
Core Competencies

Demonstrates expertise in setting and executing strategies for responsible AI, generative AI, and low-code/no-code capabilities, while ensuring compliance with privacy, cybersecurity, and regulatory standards. Proven ability to lead cross-functional teams and drive measurable business value through the implementation of AI-enabled practices and governance frameworks.

Highest-signal resume keywords
  • Generative AI
  • AI Agents
  • Low-Code Solutions
  • DevSecOps
  • Enterprise Leadership
Hard Skills
  • AI Orchestration
  • Modern SDLC
  • APIs
  • Event-Driven Integration
  • Governance Frameworks
  • Production Transition
  • Quality Control
  • Performance Measurement
  • Use-Case Portfolio Management
  • Financial Planning
Soft Skills
  • Leadership
  • Strategic Thinking
  • Collaboration
  • Communication
  • Change Management
Certifications & Qualifications
  • Bachelor's Degree in Information Technology
Industry Keywords
  • Responsible AI
  • Cybersecurity
  • Data Privacy
  • Model Risk
  • Regulatory Controls
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