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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: Exciting chance to shape AI's role in a global business environment.
The predicted salary is between 36000 - 60000 £ 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
Tech Environment
- 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
What We’re Looking For
- 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
You’ll Thrive If You Have:
- 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
Example Projects You Might Deliver
- 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 City of London employer: PaymentGenes
Contact Detail:
PaymentGenes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Automation Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at PaymentGenes. A friendly message on LinkedIn can go a long way. Don’t be shy; let them know you’re interested in the Lead AI Automation Engineer role!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI systems and automation. When you get the chance to chat, share how you've tackled complex business processes and made an impact.
✨Tip Number 3
Be ready for a technical chat! Brush up on your knowledge of advanced reasoning models and orchestration frameworks. They’ll likely want to see how you think through problems and design intelligent workflows.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and making a difference in AI automation.
We think you need these skills to ace Lead AI Automation Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI Automation Engineer role. Highlight your experience with AI systems, automation engineering, and any relevant projects that showcase your ability to deliver production workflows.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've designed intelligent systems or automated complex processes in the past. This is your chance to show your passion for AI and automation!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Include your experience with Python, REST APIs, and any orchestration frameworks you've worked with. We want to see how you can bring your skills to our cutting-edge tech environment.
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 it gets into the right hands. Plus, it shows us you’re serious about joining our team!
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 that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Systems Thinking
Prepare examples from your past experiences where you’ve successfully designed and implemented complex systems. Highlight your ability to think in systems and how you’ve turned AI capabilities into measurable business impacts. This will demonstrate that you can handle the responsibilities of the role effectively.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on Python, REST APIs, and SQL, as well as your experience with automation engineering. Be prepared to explain your thought process behind building production-grade AI systems and how you ensure reliability and auditability in your designs.
✨Demonstrate Your Problem-Solving Skills
Think of specific challenges you’ve faced in previous roles related to AI automation and how you overcame them. Discuss your approach to balancing bold automation with responsible risk control. This will show that you can navigate the complexities of the role while maintaining a focus on governance and compliance.