AI Ops Engineer

Work setup: We operate in a hybrid work environment, and we encourage applicants who are open to working in the office two days a weekto apply. 

Work schedule: Monday to Friday, 10AM to 6PM or 12PM to 8PM Manila time

Employment type: Permanent

Location: Makati City, Metro Manila 

Pay range: Php 104,000 to Php 142,000 

We value transparency and want to ensure a good fit for both parties. We encourage applicants who are comfortable with this salary range to apply. 

Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge. 

We are looking for an AI Ops Engineer to join our Technology – AI Centre of Excellence team. This role will be an opportunity for you to lead the operational foundation of enterprise AI solutions, ensuring they are secure, reliable, scalable, governed, and cost-effective in production environments.

Why Cambridge?   

Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge. With a legacy rooted in over 800 years of educational excellence, we are dedicated to unlocking the potential of learners and educators across the globe. 

Joining Cambridge's second largest global office in the Philippines —operating for over 22 years with 1,300+ colleagues— means becoming a part of an extraordinary institution renowned worldwide. We are recognised as a Great Place to Work® for three consecutive years, reflecting our inclusive culture, strong sense of purpose, and commitment to the professional growth and well-being of our people. At Cambridge, we don't just publish books or deliver tests—we empower progress, inspire curiosity, and champion the pursuit of knowledge. 

What can you get from Cambridge?   

At Cambridge, you'll become a part of a vibrant and forward-thinking community that transcends tradition, fostering a culture of continuous growth and personal development. Here, we provide the right environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential, that is why our pay philosophy is intricately tied to your skills and competencies, ensuring that your compensation aligns with the unique value you bring to the role you are applying for.  

The organization offers a wide range of benefits and opportunities including: 

• Regular Employment on Day 1 
• HMO Coverage and Life Insurance on Day 1 
• Paid Annual Leaves (Vacation, Well-being, Flexible, Holiday, and Volunteering leaves) 
• Vesting/Retirement package 
• Opportunities for career growth and development 
• Access to well-being programs 
• Flexible schedule, hybrid work arrangement and work-life balance 
• Opportunity to collaborate with colleagues from diverse branches that will expand your horizons and enrich your understanding of different cultures 

What will you do as an AI Ops Engineer?

Reporting to the Head of AI Development, AI CoE, your accountabilities will include:

• Design, build and secure cloud infrastructure for AI workloads using Terraform across AWS environments, ensuring robust identity, networking and change management practices.
• Own enterprise AI observability, including execution tracing, model performance monitoring, cost attribution and cross-workflow visibility across multiple AI providers.
• Design and operate governed deployment pipelines for AI and agentic workflows, incorporating automated controls, approval gates and governance checkpoints.
• Define and maintain production-readiness standards, SLOs/SLIs, alerting frameworks and incident response processes for AI services.
• Apply and enforce security, Responsible AI and cost-governance controls while enabling scalable, production-grade AI infrastructure and tooling across the organisation.

Please review the attached job description for further details on the role.  

What makes you the ideal candidate for this role?  

An ideal candidate has the following qualities: 

Essential:

• Demonstrates deep expertise in AWS cloud services, infrastructure-as-code with Terraform, and the design and operation of production-grade cloud environments.
• Exhibits strong knowledge of generative AI systems, retrieval-augmented generation (RAG), vector databases, AI observability and operational governance.
• Demonstrates substantial hands-on experience running generative AI or agentic solutions in production, with accountability for reliability, security and cost optimisation.
• Shows advanced proficiency in Python, Linux and automation, with a strong software engineering approach to maintainable and reusable code.
• Displays the ability to lead incident response, enforce engineering standards through automation, and influence delivery teams through technical expertise and published standards.

Desirable:

• Shows ability to apply AWS professional or specialty certifications and experience with Amazon Bedrock in production environments.
• Demonstrates experience with LLM observability platforms, vector databases, enterprise workflow tooling, or AI evaluation and testing frameworks.
• Displays initiative in establishing SRE, platform, or AI operations practices and working within regulated, education, assessment, or publishing environments.

Are you driven by desire to be part of a globally renowned institution that celebrates innovation, embraces inclusion, and empowers learners? Then, we invite you to Pursue your Potential with us. 

Only applications received through the systemwill be reviewed on a rolling basis. The vacancy may close once sufficient applications are received. Therefore, if you are interested, tailor-fit your CV (advantageous if you submit one with a Cover Letter) and submit as early as possible.  

Please ensure to upload correct and updated details and documents as these cannot be changed once submitted. Learn more about our hiring process by going through our Candidate Application Guide.  

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