Senior AI Agent Architect for Enterprise Automation

MCI Careers; Wes-Kaap; On-site; ZAR 1,000,000 - 1,300,000; Full time

Job summary

MCI is seeking a Senior AI Agent Developer to lead design, development, and deployment of enterprise-scale AI agent ecosystems. You will drive autonomous workflows, collaboration models, and scalable architectures across enterprise environments.

You will mentor engineers, define AI strategy, and adopt best practices for responsible AI with a focus on security and governance. This role requires strong Python skills and hands-on experience with LLMs and orchestration.

Qualifications

• Bachelor's degree in Computer Science, Engineering, AI, Information Technology, or related field.
• Minimum 5 years of software engineering experience.
• Proven experience developing AI agents, intelligent automation solutions, or AI-powered applications.
• Advanced Python programming and software architecture skills.
• Experience working with Large Language Models and Generative AI technologies.
• Strong understanding of agent orchestration, planning, reasoning, and memory systems.
• Experience integrating enterprise applications, APIs, and cloud services.
• Ability to design scalable, secure, and maintainable AI architectures.
• Experience mentoring developers and leading technical initiatives.
• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder engagement abilities.
• Experience operating within Agile software development environments.

Responsibilities

• Lead the design and implementation of advanced AI agent solutions.
• Architect scalable agent-based systems and frameworks.
• Develop autonomous workflows and decision-making capabilities.
• Design multi-agent collaboration and orchestration models.
• Establish development standards and best practices.
• Enable AI agents to operate across enterprise environments.
• Integrate agents with business applications, APIs, and databases.
• Design workflow automation solutions to improve efficiency.
• Support enterprise transformation and automation initiatives.
• Develop reusable tools and agent capabilities.
• Ensure AI agents perform reliably at scale.
• Monitor agent performance and operational metrics.
• Conduct testing, troubleshooting, and performance optimization.
• Improve reliability, scalability, and maintainability.
• Support deployment and production operations.
• Implement responsible controls for enterprise AI agents.
• Ensure compliance with security and governance requirements.
• Assess risks associated with autonomous systems.
• Develop monitoring and audit capabilities.
• Support responsible AI deployment practices.
• Provide technical leadership and contribute to AI strategy.
• Mentor junior developers and engineers.
• Evaluate emerging AI agent technologies and frameworks.
• Drive innovation and continuous improvement initiatives.
• Contribute to organizational AI standards and roadmaps.

Skills

Advanced Python

AI agent orchestration

Large Language Models

Agile software development

Communication & stakeholder management

Mentoring developers

Education

Bachelor's degree in CS/Engineering/AI/IT

Tools

Docker

Kubernetes

OpenAI Agents

LangGraph

CrewAI

AutoGen

Job description

MCI is seeking a Senior AI Agent Developer to lead design, development, and deployment of enterprise-scale AI agent ecosystems. You will drive autonomous workflows, collaboration models, and scalable architectures across enterprise environments.

You will mentor engineers, define AI strategy, and adopt best practices for responsible AI with a focus on security and governance. This role requires strong Python skills and hands-on experience with LLMs and orchestration.