At a Glance
- Tasks: Design and deploy AI solutions for enterprise customers, solving real-world problems.
- Company: Join a forward-thinking tech company focused on innovative AI applications.
- Benefits: Competitive salary, flexible time off, 401K contributions, and tuition assistance.
- Other info: Collaborative culture with opportunities for community involvement and volunteering.
- Why this job: Make a real impact by delivering cutting-edge AI solutions in a dynamic environment.
- Qualifications: 2-5 years in software engineering with Python and AI/ML frameworks experience.
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, etc.)
- 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
- 401K 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 in London employer: IFS
As a Forward Deployed AI Engineer, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our company offers competitive salaries, flexible paid time off, and comprehensive benefits, fostering a culture of continuous learning and community involvement. Join us to make a meaningful impact by delivering cutting-edge AI solutions while enjoying the support of a dedicated team and the opportunity to work closely with enterprise customers.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer in London
✨Tip Number 1
Get to know the company inside out! Research their products, culture, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. Building connections can give you insider info and might even lead to a referral—definitely a win!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and AI knowledge. Practice common problems and be ready to discuss your past projects. Confidence is key, so show them what you've got!
✨Tip Number 4
Don’t forget to 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. Let’s get you that job!
We think you need these skills to ace Forward Deployed AI Engineer in London
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.
Emphasise Collaboration:Since this role involves working closely with customers and teams, share examples of how you've successfully collaborated in the past. Highlight your interpersonal skills and any experiences where you’ve led discussions or workshops.
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 your enthusiasm for joining our team!
How to prepare for a job interview at IFS
✨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 will show that you can hit the ground running!
✨Understand Customer Needs
Since this role involves working closely with enterprise customers, think about how you can translate their business problems into technical solutions. Prepare examples of how you've collaborated with clients in the past to deliver value quickly.
✨Show Off Your Problem-Solving Skills
Be prepared to talk about specific challenges you've faced in previous roles, particularly around troubleshooting deployments or tuning agent behaviour. Highlight your ability to iterate quickly and ensure performance—this is key for success in a fast-paced environment.
✨Communicate Like a Pro
Strong interpersonal skills are a must! Practice explaining complex technical concepts in simple terms. You might even want to do a mock interview with a friend to get comfortable discussing your ideas on a whiteboard as well as in code.
