At a Glance
- Tasks: Design and deploy AI automation solutions for critical business processes.
- Company: Join a high-performance, tech-driven financial services organisation.
- Benefits: Competitive day rate and long-term contract with ownership opportunities.
- Other info: Fast-paced environment with exposure to elite engineering standards.
- Why this job: Work on cutting-edge AI automation and make a real impact.
- Qualifications: Experience in AI solutions, Python, and cloud-native services required.
The predicted salary is between 43200 - 72000 £ 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
- Hands-on experience implementing AI solutions using Gemini and/or OpenAI APIs
- Strong Google Cloud Platform (GCP) experience across compute, data, and AI services
- Experience building and maintaining Custom GPTs, AI agents, or equivalent LLM-based services
- Proven ability to integrate AI into automation workflows using Python, UiPath, and cloud-native services
- Intermediate Python proficiency for automation extensions, utilities, and API integrations
- Strong understanding of AI security risks, governance, and mitigation strategies
Additional Skills
- SQL experience for reporting, automation, or workflow integration (nice to have)
- Experience working in Agile, product-oriented environments
- Strong stakeholder management and communication skills
- Comfortable operating in high-pressure, high-accountability environments
Why This Role
- Long-term contract with real ownership and impact
- Work on cutting-edge AI-driven automation at scale
- Exposure to elite engineering standards and complex systems
- Competitive day rate aligned to senior-level expertise
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Investment Banking, Banking, and Financial Services
AI Automation Engineer in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at KennedyPearce Consulting. A friendly message on LinkedIn can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your AI automation expertise, make sure to share them during interviews. It’s all about proving you can walk the walk.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and cloud-native tools. Practice coding challenges and be ready to discuss how you’ve integrated AI into automation workflows.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about landing that AI Automation Engineer role.
We think you need these skills to ace AI Automation Engineer in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Automation Engineer role. Highlight your experience with Python, UiPath, and any cloud-native tools you've used. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI automation and how your previous experiences make you a great fit for this role. Let us know what excites you about working in a high-performance environment.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with AI solutions, especially if you've integrated LLMs or built custom GPTs. We love seeing practical examples of your skills in action.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process and ensures your application lands directly in our hands. Let's get your journey started!
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, UiPath, and Google Cloud Platform. Brush up on your experience with AI solutions like Gemini and OpenAI APIs, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and deployed AI-enabled automation solutions. Think about challenges you faced and how you overcame them, particularly in high-pressure environments, as this role demands resilience and performance.
✨Understand the Business Context
Research the financial services sector and understand how intelligent automation can impact core business workflows. Being able to articulate how your skills can contribute to the organisation's mission-critical operations will set you apart from other candidates.
✨Communicate Effectively
Since this role involves collaboration with various teams, practice articulating your thoughts clearly and concisely. Be ready to discuss how you’ve managed stakeholders in the past and how you approach teamwork in a fast-paced environment.
