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- Tasks: Design and deploy AI-native automation systems that transform business operations.
- Company: Join a high-growth, international tech company leading in AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by building intelligent systems that drive business success.
- Qualifications: 5-8 years in automation engineering or AI systems with proven deployment experience.
- Other info: Be part of a dynamic team shaping the future of AI in global businesses.
The predicted salary is between 48000 - 84000 £ per year.
PaymentGenes is proud to be partnering with a high-growth, international technology business to appoint a Lead AI Automation Engineer. This is a rare opportunity to design and deploy enterprise-grade, AI-native automation at scale within a complex global environment. If you are excited by building intelligent agent systems that move beyond experimentation into real operational impact, this role is for you. This is not a chatbot role! This is about designing intelligent, production-grade AI systems that transform how businesses operate.
You will work hands-on with cutting-edge foundation models and orchestration platforms to build autonomous agents, copilots, and intelligent workflows that integrate directly into core enterprise systems. If you think in systems, move fast, and love turning AI capability into measurable business impact — we want to hear from you.
What You'll Do- Design AI-Native Workflows
- Architect intelligent agents using advanced reasoning models
- Structure prompts for reliability, determinism, and auditability
- Build multi-step agent workflows using orchestration frameworks
- Develop autonomous and human-in-the-loop systems
- Implement RAG pipelines and memory-backed agents
- Build Enterprise-Grade Automation
- Deliver production workflows in Power Automate
- Connect AI agents to CRM, ERP, Finance, Support, and internal systems
- Automate document processing, approvals, reconciliations, and reporting
- Build event-driven workflows across email, Teams, APIs, and databases
- Architect Agent Systems
- Modular task decomposition
- Guardrails and validation layers
- Structured output validation (JSON schemas, rule checks)
- Logging, observability, fallback logic, and confidence scoring
- Secure credential and secrets management
- Governance & Scale
- Ensure explainability and traceability
- Design compliant automation aligned to enterprise standards
- Identify high-ROI use cases across departments
- Develop reusable AI automation templates
- Help establish internal AI standards and best practices
- AI & Agents
- Advanced reasoning models (e.g. Claude)
- Code generation models (e.g. Codex)
- Prompt engineering & evaluation frameworks
- RAG architectures
- Embeddings & vector search (desirable)
- Orchestration & Automation
- Agent orchestration frameworks (e.g. Antigravity)
- Power Automate
- API-first integrations
- Event-driven architectures
- Engineering
- Python
- REST APIs
- SQL
- Git-based version control
- Secure secrets handling
- 5–8+ years in automation engineering, AI systems, or solutions architecture
- Experience deploying LLM-powered workflows in production
- Proven ability to automate complex business processes end-to-end
- Experience integrating AI into enterprise environments at scale
- Strong systems thinking
- An AI-first mindset
- High execution velocity
- Comfort operating across business and technical domains
- The ability to balance bold automation with responsible risk control
- AI-powered contract review & extraction pipeline
- Autonomous finance reconciliation assistant
- Support triage agent integrated via enterprise workflow tools
- Internal knowledge copilot with RAG
- CRM enrichment and proposal generation workflows
This is a high-impact opportunity to shape how AI operates inside a global business environment. You’ll be empowered to experiment, build, ship, and scale real systems that matter. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.
Lead AI Automation Engineer in Derby employer: PaymentGenes
Contact Detail:
PaymentGenes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Automation Engineer in Derby
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at PaymentGenes. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that demonstrate your expertise in AI automation, make sure to share them during interviews. Real-world examples can really impress hiring managers.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding and problem-solving skills, as you might face some hands-on tests. We recommend practicing with relevant tools and frameworks mentioned in the job description.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in the role and the company.
We think you need these skills to ace Lead AI Automation Engineer in Derby
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and automation shine through. We want to see how excited you are about building intelligent systems that make a real difference in business operations.
Tailor Your Experience: Make sure to highlight your relevant experience in automation engineering and AI systems. We’re looking for specific examples of how you've deployed LLM-powered workflows or automated complex processes, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so use simple language to explain your skills and experiences. This will help us quickly see how you fit into our team.
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 don’t miss any important details about the role. We can’t wait to hear from you!
How to prepare for a job interview at PaymentGenes
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and frameworks mentioned in the job description. Brush up on advanced reasoning models, orchestration platforms, and how to build intelligent workflows. Being able to discuss these topics confidently will show your passion and expertise.
✨Showcase Your Systems Thinking
Prepare examples that demonstrate your ability to think in systems. Discuss past projects where you’ve designed complex automation solutions or integrated AI into enterprise environments. This will highlight your problem-solving skills and your understanding of how different components interact.
✨Be Ready to Discuss Real Impact
Think about how your work has led to measurable business outcomes in previous roles. Be prepared to share specific examples of how you’ve automated processes or improved efficiency. This will help the interviewers see the tangible benefits you can bring to their organisation.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI initiatives and future goals. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations. Plus, it gives you a chance to demonstrate your knowledge about the industry.