At a Glance
- Tasks: Design and deploy AI automation solutions for critical business processes.
- Company: High-performance financial services organisation with a tech-driven approach.
- Benefits: Long-term contract, competitive pay, and hands-on technical ownership.
- Other info: Ideal for those who thrive in high-accountability settings.
- Why this job: Lead innovative AI projects in a fast-paced, collaborative environment.
- Qualifications: Experience in AI automation, Python, and RPA platforms required.
The predicted salary is between 36000 - 60000 £ per year.
We are partnering with a high-performance, technology-driven financial services organisation operating in a mission-critical, low-tolerance environment. They are seeking a Lead AI Automation Engineer to take ownership of intelligent automation across core business workflows, embedding AI capabilities directly into production-grade RPA platforms. This is a long-term contract role with significant technical ownership, working closely with senior product, engineering, and operations stakeholders in a fast-paced, high-expectation setting. This role is 5 days onsite and best suited to candidates who thrive in collaborative, high-accountability environments.
Key Responsibilities
- Design, build, and deploy AI-enabled automation solutions supporting critical business processes
- Embed LLM and AI services into UiPath automation pipelines using Python and cloud-native tooling
- Act as a technical lead across intelligent automation, influencing standards, architecture, and best practices
- Partner closely with product, engineering, QA, and operations teams on end-to-end delivery
- Support and enhance hyper-critical production automations with a focus on resilience and performance
AI Automation Engineer employer: KennedyPearce Consulting
KennedyPearce Consulting is an excellent employer, offering a dynamic work environment in the heart of Greater London, where creativity meets finance in the vibrant TV production industry. Employees benefit from a supportive culture that prioritises professional growth, with clear pathways for advancement and the potential for permanent positions. Join us to be part of a team that values collaboration and innovation, making your contributions meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI automation projects. We want to see your work in action, so don’t be shy about sharing your successes and how you’ve tackled challenges.
✨Tip Number 3
Prepare for those interviews! Research the company and their tech stack. We suggest practising common interview questions related to AI and automation, so you can confidently demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips!
We think you need these skills to ace AI Automation Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Automation Engineer role. Highlight your experience with RPA platforms, Python, and any relevant cloud-native tools to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've successfully implemented AI solutions in past projects and how you thrive in collaborative environments.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Include details about your experience with LLMs, automation pipelines, and any leadership roles you've taken on in previous positions. We love seeing candidates who can take ownership!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at KennedyPearce Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and UiPath. Brush up on your knowledge of AI services and cloud-native tooling, as you’ll likely be asked to discuss how you’ve used these in past projects.
✨Showcase Your Collaborative Spirit
Since this role thrives in a collaborative environment, prepare examples that highlight your teamwork skills. Think about times when you worked closely with product, engineering, or operations teams to deliver successful automation solutions.
✨Demonstrate Problem-Solving Skills
Be ready to discuss specific challenges you’ve faced in previous roles, particularly around resilience and performance in production-grade automations. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s mission-critical environment. Inquire about their current automation challenges or how they measure the success of their AI implementations. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
