About Us ALOIS Australia is a leading Talent and Technology Solutions company, focused on helping businesses across the country build stronger teams, smarter processes, and sustainable growth.

We work with organisations in diverse industries to deliver integrated workforce and technology solutions, from innovative hiring strategies to end-to-end digital transformation. Our approach combines data, insight, and human expertise to help clients solve complex workforce challenges with clarity and confidence.

Through our deep industry experience and commitment to excellence, we provide scalable, high-performance solutions that deliver measurable impact. Whether it’s onshore project delivery, workforce optimisation, or specialised technology services, ALOIS Australia ensures results that truly make a difference.

From Sydney to Perth and everywhere in between, we’re driven by one purpose: to empower Australian businesses and professionals to thrive in a rapidly changing world of work. At ALOIS Australia, every challenge is an chance to innovate, and every partnership is built on trust, transparency, and long-term success.

Job Title – AI Agents Lead

Job Location – Sydney

Employment Type – Contract/FTC

What Role You Will Play In Team : AI Agents Lead Role Purpose Own the rollout of M365 Copilot across the organisation and lead the build of safe, highvalue, high impact AI agents. Translate business needs into agent use cases, Champion best in class prompting practices and orchestrate the delivery of the AI Agents roadmap securely, measurably, and at scale.

Core outcomes

- Copilot rolled out across the organisation with sustained weekly active use ≥70% and ≥4 hrs a week time saved in 3+ workflows.
- AI Agent Roadmap delivered and executed. 5–10 production agents live with measurable business impact (cost/time saved or revenue uplift).
- Agent Factory operating model in place (intake -> design -> build -> govern -> measure) with risk controls aligned to AI governance and privacy/security requirements.
- Enterprise prompt patterns library / AI agent cookbook / AI Literacy for LLM adopted across functions. Prompt quality (outcome quality) measured and improving month of month.

Key Responsibilities

- Project lead for Copilot. Coordinate enterprise rollout, sequencing cohorts, benefits baselining, enablement, and telemetry.
- Agentic AI. Hyper-automation supported by AI Agents. Own roadmap, intake pipeline,



and delivery quality for conversational and automation agents (Copilot Studio / Power Automated and other platforms). Contribute to the solution design standards and AI Agent Technical framework. If an automation is made possible or made feasible by the use of Agentic AI then it falls under the remit of AI Agents.
- Prompting excellence. Curate prompt patterns and guardrails, coach teams embed best practices into templates, training, and review checklists. As part of AI Literacy program and
- Business engagement. Partner with business team to first identify and then prioritise high-value use cases. Convert pain points into agent designs with clear success metrics.
- Capability uplift by contributing to the AI Champions network, deliver training, Ai playbooks and mentoring internal builders.
- Controls and compliance. Ensure that privacy, security, and responsible AI controls as defined by Responsible AI are followed and (AIIA, data boundaries, human-in-the-loop, monitoring).
- Platform/product management. Coordinate with Microsoft, IT service owner and other vendors to identify upcoming features of value to SYD to be added to the roadmap. Coordinate with M365 service owners to ensure platform setup, controls, and other platform features contribute to an enhanced user experience (and do not take from the user experience or product features.
- Benefits realisation. Establish baselines, define KPIs, and publish outcome dashboards to exec sponsors and the AI Steering Committee.
- Tech, framework,

RACI

- A/R. Copilot rollout plan. AI Agent Roadmap / rollput of AI agents to production.
- Prompt standards. Acceptance to production for agents; success metrics.
- C: Ai Governance/Cyber/Privacy/Legal/Procurement/IT/Data
- I: Business unit leaders, Ai Governance forums

Key Stakeholders

- Thiru – technology
- Alex – responsible AI
- Jenny – IT Service Owner for M365 including copilot
- Business stakeholders – Roadmap, requirements

KPIs / Leading Indicators

- Adoption. Copilot WAU %, prompts/user/day, repeat usage.
- Value.



Minutes saved per user per day (by workflow and overall); # automated tasks; cycle-time reductions; $ benefits tracked.
- Quality & Safety. % agents passing AIIA (should be 100%). incident count
- Throughput. Time from intake → pilot → prod. # agents live. % roadmap delivered on time.
- Capability. # champions enabled; training satisfaction ≥4.5/5; prompt pattern reuse rate.

30 | 60 | 90-Day Plan Day 30 – Understand and set operating rhythm

- Copilot rollout. Fully across and understanding of all moving parts, engaged with key stakeholders and part of every copilot conversation.
- AI Agent Roadmap and Agent Factory stood up. Single front door, lightweight business case template, and scoring model (value, risk, feasibility).
- Prompting foundations. Publish v1 Prompt Patterns Library (e.g., summarisethen-propose, chain-of-thought reviewer, action-planner), plus “dos & don’ts.”
- Set up operating rhythm. Stand-ups, fortnightly reviews, monthly exec dashboard; RAID log started for each roadmap item.
- 2+ pilot agent added to the roadmap and framed (problem statement, users, data boundaries, success metric, human-in-the-loop design).
- AI Agents taken approach (framework + factory/process) raised with

Day 60 - Take Ownership

- Copilot rollout. Take full ownership of the project and plan.
- 3 agents pilots built and in user testing (e.g., policy Q&A; with citations & data boundaries; finance variance explainer & action checklist).
- Agent Factory V1. Solution design template, evaluation script, prompt review checklist, red-teaming procedure, and rollback plan.
- Permissions hygiene sprint completed for pilot cohorts; AIIA v2 incorporated into intake.
- Benefits measurement live: before/after time trials for 2–3 workflows; first interim benefits report issued to execs.
- Champions network in place with office hours and feedback loop to iteratively improve patterns and agents.

Stay Connected With Us Learn more about ALOIS in Australia, visit our webpage ALOIS Australia Follow us on LinkedIn and Instagram

EEO Statement ALOIS Australia is committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all qualified applicants and do not discriminate on the basis of race, colour, religion, sex, age, national origin, disability, or any other characteristic protected under applicable laws. We value diversity and believe it strengthens our people, our culture, and the outcomes we deliver.

📌 AI AGENTS LEAD (Sydney)
🏢 ALOIS UK
📍 Sydney