At a Glance
- Tasks: Design and deploy AI solutions that tackle real-world challenges for enterprise customers.
- Company: Join a forward-thinking tech company focused on innovative AI applications.
- Benefits: Competitive salary, flexible time off, 401(k) contributions, and tuition assistance.
- Other info: Collaborative culture with opportunities for community involvement and career growth.
- Why this job: Make a tangible impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 2-5 years in software or ML deployment, proficient in Python and AI frameworks.
The predicted salary is between 111015 - 125817 £ per year.
About the Role
As a Forward Deployed AI Engineer, you’ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You’ll lead the design and deployment of intelligent agents across customer workflows—owning everything from discovery and prototyping to configuration, testing, and launch. This is a fast-paced, hands‑on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer’s needs—ensuring rapid value delivery and laying the foundation for long‑term success.
What You’ll Do
- Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows
- Integrate IFS Loops platform with customer systems
- Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)
- Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption
- Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap
- Document technical decisions and hand off stable deployments to customer engineering or support teams
Qualifications
What We’re Looking For
- 2–5 years of experience in a software engineering, solutions engineering, or ML deployment role
- Proficiency in Python and working knowledge of AI/ML frameworks (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate)
- Familiarity with building LLM applications, RAG systems, or conversational AI workflows
- Experience integrating with enterprise systems via APIs or middleware (e.g., Salesforce, ServiceNow, SAP, Oracle)
- Ability to translate business problems into technical solutions—and deliver them fast
- Strong interpersonal skills; you’re just as comfortable on a whiteboard with a customer as you are in code
- Bias toward action, ownership, and continuous learning in dynamic environments
Nice to Have
- Background in SaaS, customer experience, support operations, or manufacturing systems
- Experience deploying AI in mission-critical environments
- Prior work with enterprise AI platforms or multi-agent orchestration
Additional Information
What We’re Offering
- Salary Range: List (£)111,015 to (£)125,817 annually + bonus
- Flexible paid time off, including sick and holiday
- 401(k) with Company contribution
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Forward Deployed AI Engineer London, England, United Kingdom Research and Development employer: Industrial and Financial Systems
As a Forward Deployed AI Engineer at our London office, you'll be part of a dynamic and innovative team that values collaboration and continuous learning. We offer a competitive salary, flexible paid time off, and opportunities for professional growth through tuition assistance and community involvement. Our work culture fosters creativity and ownership, making it an ideal environment for those looking to make a meaningful impact in the field of AI.
Contact Details:
Industrial and Financial Systems Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer London, England, United Kingdom Research and Development
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Forward Deployed AI Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in Python and AI/ML frameworks. This gives you a tangible way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI deployment. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward Deployed AI Engineer London, England, United Kingdom Research and Development
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Forward Deployed AI Engineer role. Highlight your experience with AI/ML frameworks and any relevant projects that showcase your skills in delivering custom solutions.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Be specific about your proficiency in Python and any AI/ML tools you've worked with. We want to see how you can translate complex problems into effective solutions.
Demonstrate Customer Collaboration:Since this role involves working closely with enterprise customers, share examples of how you've successfully collaborated with clients in the past. This will show us your strong interpersonal skills and ability to understand customer needs.
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’s super easy!
How to prepare for a job interview at Industrial and Financial Systems
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML frameworks like OpenAI and Hugging Face. Be ready to discuss how you've used Python in past projects, especially in deploying AI solutions. This role is all about delivering real-world results, so having concrete examples will really impress.
✨Understand the Customer's Needs
Since you'll be working directly with enterprise customers, it's crucial to understand their workflows and pain points. Do some research on potential clients and think about how your skills can solve their specific problems. Being able to translate business challenges into technical solutions will set you apart.
✨Show Off Your Collaboration Skills
This role involves a lot of teamwork, so be prepared to talk about your experience collaborating with product, engineering, and customer success teams. Share examples of how you've worked together to deliver successful projects and how you’ve gathered customer insights to improve outcomes.
✨Be Ready to Troubleshoot
Expect questions about how you handle troubleshooting and iterating on deployments. Think of specific instances where you had to quickly resolve issues or adapt your approach based on feedback. Showing that you can think on your feet and ensure performance will demonstrate your value in a fast-paced environment.
