At a Glance
- Tasks: Lead AI integration into enterprise workflows and automate business processes.
- Company: Dynamic company focused on innovative AI solutions in the UK.
- Benefits: Competitive pay, inclusive culture, and opportunity for professional growth.
- Other info: Join a fast-paced team and enjoy a collaborative work environment.
- Why this job: Make a real impact by transforming business processes with AI technology.
- Qualifications: Experience with low-code platforms and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
The Lead AI Engineer will focus on integrating AI into enterprise workflows, translating business processes into scalable AI solutions, and collaborating with stakeholders on automation initiatives. We have an urgent requirement within our Claims Modernisation Programme and are looking for an AI Engineer for an onsite role based in the UK, initially for a 3-6 month engagement.
Qualifications
- Strong experience with low‑code / no‑code automation platforms such as N8N, Automation Anywhere, EvoluteIQ, or similar workflow orchestration tools.
- Ability to understand and translate business processes and operational requirements into scalable AI workflows.
- Strong problem‑solving capability with the ability to work independently and take ownership of deliverables.
- Excellent stakeholder communication and collaboration skills, with the ability to work effectively across technical and business teams in an agile environment.
- Experience integrating AI capabilities into enterprise workflows, including orchestration of APIs and automation pipelines.
- Comfortable working in a fast‑paced delivery environment with the ability to quickly understand existing processes and recommend pragmatic AI‑enabled solutions.
- Experience within Insurance or Claims operations would be highly beneficial but not essential.
Equal Employment Opportunity
We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Lead AI Engineer employer: Zensar Technologies
As a Lead AI Engineer, you will join a forward-thinking team dedicated to integrating cutting-edge AI solutions into enterprise workflows, all while working in a collaborative and inclusive environment. Our UK-based office fosters a culture of innovation and continuous learning, offering ample opportunities for professional growth and development within the rapidly evolving field of AI. With a commitment to diversity and equal opportunity, we ensure that every employee feels valued and empowered to contribute meaningfully to our Claims Modernisation Programme.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and automation space. We all know that sometimes it’s not just what you know, but who you know. Attend industry meetups or webinars to make those valuable connections.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with low-code/no-code platforms and AI integration. We want to see your problem-solving capabilities in action, so include case studies or projects that demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder communication skills. We need to be able to articulate how our AI solutions can transform business processes. Practice explaining complex concepts in simple terms to ensure everyone’s on the same page.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with low-code/no-code platforms and AI integration. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how you can translate business processes into scalable AI solutions. Let us know why you're excited about the role and how you can contribute to our Claims Modernisation Programme.
Showcase Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can think on their feet and come up with pragmatic solutions, especially in fast-paced environments.
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 the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Zensar Technologies
✨Know Your Tech
Make sure you brush up on low-code and no-code automation platforms like N8N or Automation Anywhere. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and relevance to the role.
✨Translate Business Needs
Prepare to explain how you've successfully translated business processes into scalable AI solutions. Think of specific examples where your understanding of operational requirements led to effective AI workflows, as this will demonstrate your problem-solving skills.
✨Stakeholder Savvy
Since collaboration is key, think about times when you've worked with both technical and business teams. Be ready to share how you communicated complex ideas clearly and effectively, as this will highlight your stakeholder communication skills.
✨Agility is Key
In a fast-paced environment, adaptability is crucial. Prepare to discuss how you've quickly understood existing processes and recommended AI-enabled solutions. This will show that you can thrive under pressure and deliver results efficiently.
