At a Glance
- Tasks: Design and build AI automation solutions to enhance business efficiency and reduce manual effort.
- Company: Join a forward-thinking company dedicated to innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with endless opportunities for career advancement.
- Why this job: Make a real impact by modernising processes with cutting-edge AI technology.
- Qualifications: Experience in AI workflows, APIs, and a passion for tech innovation.
The predicted salary is between 53820 - 65780 £ per year.
Job Summary
We are looking for an AI Integration & Automation Specialist to help design, build and support modern automation solutions that improve business efficiency, reduce manual effort, strengthen operational control and enable the safe use of AI across the organisation.
This role will facilitate the development of reusable automation and integration patterns using Microsoft Power Platform, Co-pilot Studio, Azure integration services, APIs and other enterprise tools.
The successful candidate will work closely with business teams, IT, data owners, security and compliance stakeholders to identify opportunities, design practical solutions and deliver governed automation that is reliable, supportable and scalable.
The initial focus will be on modernising an existing business-critical automation process, but the role is intended to grow into a wider capability for AI-assisted integration, workflow automation and process improvement across multiple business areas.
Roles & Responsibilities
- Automation, AI and solution delivery
- Design, build and support automation solutions using Microsoft Power Platform, Co-pilot Studio, Power Automate, Dataverse, Azure Logic Apps, Azure Functions and related technologies.
- Create AI-assisted and rules-based workflows that improve business processes while preserving appropriate human review, approval and control.
- Develop reusable patterns for workflow orchestration, case management, exception handling, approvals, audit trails and operational reporting.
- Use Co-pilot Studio and AI agents where they add practical value, including guided triage, summarisation, user assistance, evidence generation, knowledge retrieval and controlled action execution.
- Integration and workflow architecture
- Design integrations between Microsoft 365, business applications, customer service platforms, data platforms, workflow tools and internal APIs.
- Build or configure connectors, APIs, webhooks, event-driven workflows and data exchange patterns.
- Work with technical teams and system owners to understand existing applications, data flows, integration contracts and operational dependencies.
- Ensure integrations are secure, reliable and supportable, with appropriate authentication, authorisation, error handling, monitoring, logging and retry logic.
- Business process improvement and user experience
- Work with stakeholders to identify automation opportunities, map current processes, assess risks and design improved future-state workflows.
- Translate business needs into clear requirements, prototypes, solution designs and delivery plans.
- Design practical user experiences for operational teams, including Power Apps, dashboards, case views, workflow status screens and exception queues.
- Ensure users have clear visibility of progress, outstanding actions, approvals, service levels and audit evidence, with the ability to safely review, approve, retry or escape actions where appropriate.
- Governance, security and stakeholder engagement
- Work with IT Security, Privacy, compliance and platform owners to ensure solutions meet security, governance, audit and data protection requirements.
- Apply appropriate controls for data access, role-based permissions, connector usage, environment management and data loss prevention.
- Ensure solutions are documented, monitored and supportable before production release, including runbooks, architecture diagrams, integration specifications and handover material.
- Partner with teams across IT and the business, communicating technical concepts clearly and acting as a trusted advisor for AI-enabled automation and process modernisation.
Qualifications and Skills
Essential requirements
- Hands-on experience designing, building or operating AI agents or autonomous workflows in a production or controlled enterprise environment.
- Hands-on experience working with APIs, connectors, webhooks or other system-to-system integration methods.
- Experience delivering production solutions with appropriate authentication, authorisation, error handling, monitoring, logging and operational support arrangements.
- Ability to understand existing applications, data flows and integration dependencies and translate business requirements into clear technical designs.
- Experience of structured testing, technical documentation and controlled deployment or release management.
- Ability to work effectively with business stakeholders, application owners, infrastructure teams and control functions such as Cyber Security, Privacy or Risk.
- Strong analytical and troubleshooting skills, with a pragmatic and delivery-focused approach.
- Ability and willingness to develop further expertise in AI agents, Co-pilot Studio, Azure integration services and related emerging technologies.
Desirable requirements
- Strong familiarity with Microsoft enterprise environments, including Microsoft 365 and Microsoft Power Platform.
This should include practical experience with at least some of Power Automate, Power Apps, Dataverse or Share Point and Co-pilot Studio.
- Experience configuring autonomous triggers, multi-step agent workflows, multi-agent orchestration or human-in-the-loop controls.
- Experience with agent identity, permission design, observability, monitoring or lifecycle management, including Microsoft Entra Agent ID or Microsoft Agent 365 where available.
- Experience with Microsoft Azure integration services such as Logic Apps, Functions, API Management, Event Grid, Service Bus or Microsoft Foundry.
- Experience creating custom connectors, using managed identities or service principals, and implementing OAuth or other enterprise authentication patterns.
- Experience using source control, CI/CD pipelines, solutions and environment strategies for Power Platform, Azure or AI solutions.
- Experience integrating with enterprise platforms such as Salesforce, Service Now, Jira, Zendesk, Share Point, Teams, data warehouses, ERP systems or other line-of-business applications.
- Familiarity with AI-specific risks and controls, such as prompt injection, excessive agency, tool misuse, data leakage and the principle of least agency.
- Experience with other enterprise AI platforms, such as Claude Enterprise or Gemini Enterprise.
- Relevant Microsoft certification or applied-skills evidence in Power Platform, Azure integration, Co-pilot Studio or AI-agent development.
Personal qualities
- Pragmatic and delivery-focused, with the ability to balance speed, quality and risk.
- Curious about AI and automation, but realistic about where AI should and should not be used.
- Comfortable working with ambiguity, legacy systems and incomplete documentation.
- Strong sense of ownership and accountability.
- Able to build trust with both technical and business stakeholders.
- Detail-oriented, especially around auditability, supportability and operational risk.
- Collaborative, patient and able to bring people together around a shared solution.
- Keen to create reusable patterns rather than one-off fixes.
- Purpose & Values
- Purpose: Creating New Worlds with Boundless Imagination to Enhance People’s Lives.
• Values
- Deliver Unforgettable Experiences
- Embrace Challenges
- Act Swiftly
- Stronger Together
- Continuously Evolve
- Cultivate Integrity
AI Integrations & Automation Specialist employer: Square Enix, Inc.
Square Enix is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. As a Manager in Data Engineering (Marketing), you will have the opportunity to lead a talented team while contributing to the development of cutting-edge data solutions that enhance customer engagement and business decision-making. With a commitment to employee growth, Square Enix offers robust training programs and a supportive environment that encourages continuous evolution and integrity, making it a rewarding place to build your career in the heart of the entertainment industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integrations & Automation Specialist
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We think you need these skills to ace AI Integrations & Automation Specialist
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Square Enix, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Square Enix, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Square Enix, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Square Enix, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.