At a Glance
- Tasks: Design and implement AI-driven automation solutions using cutting-edge Microsoft technologies.
- Company: Dynamic professional services firm based in the heart of London.
- Benefits: Attractive salary, hybrid working model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Join a forward-thinking team and make a real impact with AI innovations.
- Qualifications: Experience in Microsoft Power Platform and strong Python programming skills.
The predicted salary is between 80000 - 80000 £ per year.
AI Implementation Engineer to design, develop, implement and maintain intelligent automation solutions across a professional services firm based in the City of London. The AI automation engineer must have a proven track record of actually implementing/delivering AI automations. The role focuses on leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision-making.
The successful AI Implementation Engineer will work closely with the Innovations Team, Data, IT, Operations, and business stakeholders to identify automation opportunities, implement scalable AI solutions, and ensure strong governance, security, and best practices across all automation initiatives.
Key Responsibilities- AI & Automation: Design and implement AI-driven automation solutions using Microsoft Copilot Enterprise, Power Apps, Azure AI services, Python, and OpenAI technologies. Develop and maintain automated workflows to optimise internal processes and improve productivity. Build intelligent assistants, automation scripts, and integrations across business systems. Create reusable automation frameworks and components to accelerate development.
- Workflow & Operational Efficiency: Analyse existing business processes and identify opportunities for automation and optimisation. Implement workflow automation solutions that reduce manual effort and improve operational efficiency. Integrate AI tools with existing platforms, including Microsoft 365, SharePoint, Teams, and enterprise applications. Monitor automation performance and continuously improve workflows.
- Governance & Best Practice: Establish and maintain governance frameworks for AI and automation tools across the organisation. Ensure solutions comply with company policies, regulatory requirements, and industry standards. Implement best practices for AI usage, data management, and automation lifecycle management. Maintain documentation, version control, and deployment standards.
- IT Security & Compliance: Work closely with IT security teams to ensure AI solutions meet organisational security standards. Implement secure authentication, access controls, and data protection within automation systems. Conduct risk assessments for AI tools and automation workflows. Ensure compliance with data privacy and responsible AI guidelines.
- Tool Maintenance & Platform Management: Manage and maintain AI and automation platforms within the Microsoft ecosystem. Monitor system performance, troubleshoot issues, and implement improvements. Ensure AI tools and integrations remain up to date and aligned with new platform capabilities. Support ongoing optimisation of Copilot and automation tools across departments.
- Collaboration & Stakeholder Engagement: Work with cross-functional teams to gather requirements and deliver automation solutions. Provide guidance and training to business users adopting AI-powered tools. Support organisational AI adoption and promote responsible usage of AI technologies.
- Proven experience developing automation solutions using Microsoft Power Platform (Power Apps, Power Automate).
- Strong programming skills in Python for automation and AI integration.
- Experience working with Azure services, particularly AI, automation, and integration tools.
- Hands-on experience integrating OpenAI or similar AI technologies into business workflows.
- Experience working with Microsoft Copilot Enterprise or similar enterprise AI tools.
- Strong understanding of workflow automation, APIs, and system integrations.
- Knowledge of IT security principles, identity management, and data protection.
- Experience implementing governance frameworks and best practices for AI systems.
- Strong problem-solving and analytical skills.
- Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services.
- Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem.
- Experience integrating AI solutions with Microsoft 365 environments (Teams, SharePoint, and Outlook).
- Knowledge of data analytics or business intelligence tools such as Power BI.
- Experience supporting enterprise AI adoption or digital transformation initiatives.
- Strategic thinking with a focus on automation and efficiency.
- Strong communication and stakeholder management skills.
- Ability to translate business challenges into technical solutions.
- Commitment to security, governance, and responsible AI use.
- Continuous improvement mindset.
AI Implementation Engineer - London, £80k employer: Langley James
Join a forward-thinking professional services firm in the heart of London, where innovation meets collaboration. As an AI Implementation Engineer, you'll benefit from a dynamic work culture that prioritises employee growth and development, offering opportunities to work with cutting-edge technologies while enjoying a competitive salary of up to £80k. With a hybrid working model and a strong focus on governance and best practices, this role not only enhances your technical skills but also allows you to make a meaningful impact on the organisation's operational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land AI Implementation Engineer - London, £80k
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI automation projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each application. Research the company, understand their needs, and highlight how your experience with Microsoft technologies and AI solutions can help them achieve their goals.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace AI Implementation Engineer - London, £80k
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Implementation Engineer role. Highlight your experience with Microsoft technologies, Python, and any previous automation projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your background makes you a perfect fit for our team. Don't forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills:In your application, be sure to highlight examples where you've tackled complex problems using AI solutions. We love seeing how candidates have implemented innovative ideas to improve efficiency and streamline processes in their previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Langley James
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft technology stack mentioned in the job description. Brush up on your skills with Copilot Enterprise, Power Apps, Azure services, and Python. Being able to discuss specific projects where you've implemented these technologies will show that you’re not just familiar but experienced.
✨Showcase Your Automation Success
Prepare to share concrete examples of how you've successfully delivered AI automation solutions in previous roles. Highlight the challenges you faced, the solutions you implemented, and the impact on operational efficiency. This will demonstrate your proven track record and problem-solving abilities.
✨Understand Governance and Security
Familiarise yourself with governance frameworks and IT security principles related to AI and automation. Be ready to discuss how you ensure compliance with data privacy and responsible AI guidelines in your work. This knowledge is crucial for the role and will set you apart from other candidates.
✨Engage with Stakeholders
Think about how you’ve collaborated with cross-functional teams in the past. Prepare to discuss how you gather requirements and deliver solutions that meet business needs. Strong communication and stakeholder management skills are key, so be ready to demonstrate your ability to translate technical jargon into business-friendly language.
