Why this role exists:

The Associate Engineer - AI Platforms & Fin Ops supports the reliable, secure, and cost-effective operation of Officeworks enterprise AI platforms. The role provides day-to-day platform administration, technical support, incident resolution, vendor escalation, and access control maintenance to support enterprise AI adoption.

The position leads AI licence management and Fin Ops workflows by monitoring platform consumption, forecasting expenditure, eliminating waste, and delivering transparent reporting on platform costs, performance and value. Additionally, the role partners with business teams to implement approved low-code and no-code AI use cases, configuring AI agents, workflows, and knowledge sources to boost productivity..

Where you will make a difference:

In this role you will:

AI Platform Operations and Support:

- Administer and support approved enterprise AI platforms, tools, and associated cloud services across the organisation.
- Monitor platform availability, performance, capacity, integrations, and operational service health.
- Investigate and resolve platform defects, access issues, and service incidents following established protocols.
- Maintain operational dashboards, runbooks, alerts, support documentation, and known-error records.
- Support platform upgrades, configuration changes, releases, and seamless service transitions.

Vendor Support and Escalation Management:

- Act as a technical point of contact for AI platform providers and implementation partners.
- Log, manage, and escalate unresolved technical incidents and service requests with software vendors.
- Provide external vendor support teams with technical evidence and diagnostics required to resolve platform defects.
- Monitor vendor performance against agreed service levels, SLAs, and escalation timelines.

Identity, Access, and Licence Management:

- Administer AI platform user licences, subscriptions, access groups, user roles, and entitlements.
- Support automated provisioning and deprovisioning workflows through identity and service management systems.
- Investigate identity, directory, email, and platform account discrepancies to maintain secure access.
- Conduct regular licence reconciliations, user access reviews, and security audits.

AI Fin Ops, Cost Optimisation, and Reporting:

- Monitor seat-based, token-based, API, cloud infrastructure, and model consumption expenditure.
- Develop Fin Ops dashboards tracking platform spending, adoption trends, utilisation metrics,



and cost forecasts.
- Allocate and attribute platform consumption costs to appropriate business functions, cost centres, and projects.
- Identify idle licences, duplicated services, and usage anomalies to eliminate waste and optimise expenditure.
- Validate vendor invoices and reconcile charges against contracted pricing and actual platform consumption.

No-Code and Low-Code AI Implementation:

- Translate business requirements into practical use cases delivered through approved enterprise AI platforms.
- Configure AI agents, automated workflows, prompt templates, instructions, and enterprise knowledge sources.
- Support business users through discovery, prototyping, testing, deployment, and ongoing adoption.
- Create reusable templates and implementation patterns to accelerate future low-code AI deployments.

Automation and Continuous Improvement:

- Automate recurring licence management, usage tracking, cost allocation, and platform reporting processes.
- Develop scripts and integrations to streamline routine platform administration tasks.
- Improve platform observability, incident detection mechanisms, and technical support workflows..

Who you will be working with:

- Internal Delivery Teams: Collaborate with AI & Data, Customer Platforms, Software Engineering, and Technology Operations teams to maintain platform reliability, integration, and security compliance.
- Internal Business Partners: Partner with platform owners, business users, AI Champions, and Finance teams to provide Fin Ops visibility, cost tracking, and use-case delivery.
- Technology Leadership: Engage with the AI Manager and Technology leadership to report on platform health, consumption trends, and value realisation.
- External Partners: Act as a technical liaison for platform vendors, software providers, and implementation partners to manage escalations and service delivery.

What success looks like:

- Platform Reliability: High enterprise AI platform availability with minimal operational downtime and swift incident resolution.
- Fin Ops Optimisation:



Accurate tracking and optimisation of AI consumption costs, preventing budget overruns and eliminating underutilised licences.
- Operational Efficiency: Timely implementation of approved no-code/low-code AI use cases and automated management workflows.
- Reporting Excellence: Clear, actionable reporting on platform health, user adoption, vendor performance, and commercial value.
- Demonstrates behaviours aligned to Officeworks values, contributing to a respectful, inclusive and high-performing culture.

How you will lead:

Individual Contributor:

- Lives our Officeworks values and behaviours
- Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behaviour
- Operates in line with applicable Officeworks company policies and Code of Conduct
- Demonstrates a strong sense of personal accountability and curiosity to learn and develop
- Contributes to an inclusive and respectful environment where diverse perspectives are valued and everyone feels safe to speak up and belong

Qualifications and work experience:

Essential:

- Education: Tertiary degree in Computer Science, Information Technology, Software Engineering, Financial Technology, or a related field.
- Experience: 4-6 years of experience supporting enterprise SaaS, cloud, or AI platform ecosystems.
- Incident Management: Demonstrated expertise troubleshooting technical platform, identity, integration, and service availability issues.
- Fin Ops & Cost Management: Proven track record in cloud financial management, technology cost optimisation, software licence tracking, or Fin Ops analytics.
- Low-Code Solutions: Practical experience configuring low-code/no-code tools, AI workflows, prompt templates, or knowledge bases.
- Systems & Tools: Hands-on capability with identity management systems, platform administration consoles, and reporting dashboards.
- Stakeholder Engagement: Strong communication skills with the ability to partner effectively across cross-functional technology and business teams.

Preferred:

- Retail & Omnichannel Exposure: Prior experience supporting cloud or AI platforms within a retail, FMCG, or omnichannel business environment.
- Fin Ops Certification: Fin Ops Practitioner certification or formal training in cloud economics and cost optimisation.
- Vendor Management: Experience coordinating directly with third-party platform vendors, managed service providers, and implementation partners.

📌 Associate Engineer - AI Platforms & FinOps (India)
🏢 Officeworks
📍 India