AI Orchestration Engineer – Computer Science
AI summary
Zetech University is hiring an AI Orchestration Engineer in Nairobi to design and implement AI orchestration pipelines, multimodal AI systems, RAG and knowledge graph layers, and multi-agent workflows across university operations. The role requires a Computer Science or related degree, 3+ years of AI/ML or software engineering experience, and proven production work with LLM-powered applications.
- Role focused on AI orchestration, RAG pipelines, and multi-agent systems
- Reports to the IT Manager within a university technology ecosystem
- Requires Bachelor's in Computer Science or related field
- Requires 3+ years of AI/ML, data engineering, or software development experience
- Mandatory experience working in an agile/scrum environment
- On-premise or edge inference work for data-sensitive university workflows
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, internship, segurancaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest AI Orchestration Engineer – Computer Science evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Zetech University and the role in Nairobi.
- Add concrete examples related to security, internship, seguranca, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobWeb Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this AI Orchestration Engineer – Computer Science role in security, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Zetech University before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source 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
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 Universitys 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
- in AI/ML engineering, data engineering, or software development with a focus on AI.
- Proven
- 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.
- working in an agile/scrum environment is mandatory.