AI Orchestration Engineer – Computer Science at Zetech University
Job Description
Job Objective
Operating at the intersection of AI innovation and
institutional operations, and reporting to the IT Manager, the role will
include, but is not limited to, the following responsibilities:
Duties and responsibilities
- Architect
and implement orchestration pipelines that connect multiple AI models,
internal APIs, and University databases, while integrating Model Context
Protocol (MCP) standards to standardise how AI agents interact with tools,
APIs, and data sources across the University’s
technology ecosystem.
- Design
and implement multimodal AI pipelines capable of processing text, images,
audio, and documents to support diverse University use cases.
- Develop
and maintain a knowledge graph layer integrated with RAG pipelines to
enhance contextual reasoning over interconnected University data.
- Deploy
and manage on-premise or edge inference solutions for data-sensitive
workflows where University data must not leave institutional
infrastructure.
- Implement
AI safety, security, and guardrail frameworks to enforce output
validation, prevent prompt-injection attacks, and ensure AI responses meet
institutional and ethical standards.
- Design
multi-agent systems where different AI agents handle specialised
tasks.
- Develop
sophisticated prompt strategies and \”chain of thought\” routines to
ensure AI agents perform complex reasoning tasks reliably.
- Partner
with University administrators and faculty to understand high-friction
manual workflows that could be automated.
- Any
other duties that may be assigned from time to time by the supervisor or
captured in your detailed job description.
qualification and experience
- A
minimum of a Bachelor’s in Computer Science, Artificial Intelligence, Data
Engineering, or a related field.
- 3+
years of experience in AI/ML engineering, data engineering, or software
development with a focus on AI.
- Proven
experience building and deploying LLM-powered applications in production
environments.
- A
strong portfolio or GitHub repository demonstrating work with RAG
pipelines, agentic systems, or complex AI orchestrations.
- Experience
working in an agile/scrum environment is mandatory.
Apply: Zetech
University Careers
Departmental Coordinator at Zetech University
Job Objective
To provide effective administrative and academic
coordination within the department by supporting the implementation of academic
programmes, managing student-related processes, and ensuring smooth execution
of departmental activities in alignment with the University’s operational and
quality standards. Reporting to the Head of Department – ICT & Engineering.
Duties and responsibilities
- Monitoring
class attendance of both staff and students in Nairobi City Campus.
- Creation
of classes in the system and workload allocation.
- Overseeing
examinations and processing of examination marks.
- Taking
disciplinary action related to class attendance.
- Follow
up on Zetech Digital School audit reports and prepare departmental action
item checklists.
- Overseeing
end-to-end industrial attachment and semesterly
students projects.
- Assisting
in preparing and managing the departmental examination invigilation
timetable.
- Handling
escalated examination issues from Departmental Administrators.
- Providing
secretarial support in departmental academic meetings, such as examination
moderation.
- Coordinating
student mentorship and academic advisory activities.
- Coordinating
academic trips.
- Liaising
with technicians and lecturers on the operation of kitchens, workshops,
and related facilities.
- Reporting
on assigned areas.
Qualification and experience
- Holds
a Master’s degree in IT, Computer Science, Software Engineering, Education
Technology, Cybersecurity, Business Information Technology, Data Science
and Analytics or other related field from an accredited University.
- Holds
a Bachelor’s degree in IT, Computer Science, Software Engineering,
Education Technology, Cybersecurity, Business Information Technology, Data
Science and Analytics or other related field from an accredited
University.
- Registered
or registrable for a Doctor of Philosophy (PhD) or equivalent Doctoral
Degree qualification and progressing.
- At
least 3 years post-qualification work experience.
- Demonstrable
people management skills is an added advantage.
- Must
have demonstrated university-level teaching and research experience.
- Be
registered or registerable with a relevant professional body.
- Capable
of working independently and committed to working collaboratively with a
range of colleagues from across the university.