# AI Automation Specialist

**Company:** [Teamified](http://jobs.workable.com/companies/sC3VVUzx14A9GZdFM7giB7.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Teamified

[Apply for this job](http://jobs.workable.com/view/532c61f1-b64b-4b66-84bf-5359fcfa7877)

## Description

**About Teamified**

Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people.

**About the Role**

We're looking for a hands on AI Automation Specialist who can sit between business operations and technology. You'll work directly with clients to understand how their business runs, identify where manual work can be eliminated through AI and automation, and then actually build and configure the solutions inside Alexia.ai.

This isn't a pure consulting role where you write recommendations and hand them off. You do the analysis and the implementation. You'll map business processes, spot inefficiencies, design automation workflows, configure AI managers and integrations inside Alexia, and make sure everything works end-to-end. Then you'll coach the client's team so it sticks.

The ideal candidate thinks in business processes but isn't afraid to get technical. You can run a discovery session with a business owner in the morning and spend the afternoon configuring integrations, setting up smart rules, and troubleshooting API connections.

**Key Responsibilities**

-   Run discovery sessions with clients to understand their operations, team structure, pain points, and current workflows
-   Map business processes end-to-end and identify where time is wasted, handoffs break down, and manual effort can be replaced with AI
-   Assess each client's operations and build a prioritised automation roadmap with clear expected outcomes
-   Identify which processes are best suited for AI automation - email triage, reporting, follow-ups, hiring workflows, data entry, scheduling, approvals, and more
-   Configure and deploy AI managers, executive assistants, smart rules, goals, task workflows, and automation triggers inside Alexia
-   Set up and manage integrations between Alexia and client systems i.e. CRM (HubSpot), accounting (Xero), HR/ATS platforms, email, calendar, and other business tools
-   Configure MCP (Model Context Protocol) servers and manage API-based integrations to extend platform capability
-   Build and refine AI agent prompts, instructions, and workflows to match specific client business logic
-   Test, validate, and troubleshoot configurations to ensure automations run reliably in production
-   Diagnose and resolve integration issues, API failures, data sync problems, and platform configuration errors
-   Work with engineering teams to escalate and resolve complex technical issues
-   Monitor automation performance and proactively identify issues before they impact clients
-   Maintain documentation for client configurations, integration setups, and troubleshooting procedures
-   Train client teams on how to use Alexia effectively - run working sessions, build guides, and help teams shift from manual habits to AI-assisted workflows
-   Review how automations are performing, refine configurations, and identify new automation opportunities as client needs evolve
-   Manage multiple client engagements simultaneously, each at different stages of setup and maturity
-   Act as the ongoing point of contact for clients on how to get more value from AI in their operations
-   Channel real client needs, friction points, and feature gaps back to the Alexia product and engineering team
-   Help shape the product roadmap based on patterns you're seeing across client engagements

**What We're Looking For**

-   3-5 years' experience in a hands-on role that combined business analysis or process improvement with technical implementation - operations, solutions engineering, technical account management, or similar
-   Strong ability to map and analyse business processes, identify inefficiencies, and design practical automated solutions
-   Solid understanding of AI tools and automation concepts - AI assistants, workflow automation, prompt engineering, integrations, and AI-driven decision-making
-   Hands-on experience with API integrations, webhooks, and connecting SaaS platforms together (experience with MCP is a plus)
-   Comfortable configuring and troubleshooting SaaS platforms - you've set up CRMs, automation tools, or similar systems for yourself or clients
-   Experience running client-facing discovery sessions, requirements gathering, and solution walkthroughs
-   Excellent communication skills - you can translate between business owners who think in outcomes and technical teams who think in systems
-   Strong project management instincts - you track what needs to happen, by when, and follow through without being chased
-   Experience with AI productivity tools (ChatGPT, Claude, Copilot, or similar) and automation platforms (Zapier, Make, n8n)
-   Background in change management or digital transformation projects
-   Familiarity with CRM (HubSpot, Salesforce), accounting (Xero), HR, or recruitment platforms
-   Experience writing or refining AI prompts and agent instructions
-   Understanding of OAuth, API authentication, and data security basics

**Personal Attributes**

-   Builder mentality - you'd rather configure it yourself than write a spec and wait
-   Business-first thinker who happens to be technically capable
-   Naturally curious - always exploring new AI tools and thinking about how they apply to real work
-   Client-focused with a hands-on approach, not a support-ticket mindset
-   Structured and organised, but comfortable with ambiguity in early-stage engagements
-   Strong ownership - you see the engagement through from discovery to working automation

**Working Arrangements**

-   Full-time, remote
-   Flexibility required to support clients across global time zones