Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI OS deployment and integration for enterprise success.
- Company: Innovative tech firm focused on AI solutions.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Make a real impact by driving AI innovation in businesses.
- Qualifications: Proficient in Python, SQL, and cloud technologies.
- Other info: Dynamic role with hands-on engineering and consulting experience.
The predicted salary is between 36000 - 60000 £ per year.
Your mission as a Forward Deployed Engineer (FDE) is to be the architect of our customers' technical success. You will lead the deployment and integration of our AI OS into the heart of enterprise infrastructures to deliver tangible business value at scale. Your primary metric of success is Speed to Value: the velocity at which you can move from initial engagement to robust, functional enterprise AI deployment at scale.
Key Responsibilities
- Accelerate Deployment Velocity: Lead the end-to-end technical delivery of our AI Operating System for customers, prioritising the fastest path from initial data ingestion to production-grade deployment.
- Bridge the Integration Gap: Design and build robust connections between our distributed AI architecture and the customer’s existing data stack, legacy systems, and cloud infrastructure.
- Solution Architecture: Act as a hands-on engineer and consultant, rapidly developing functional prototypes and workflows that demonstrate the power of our AI OS against specific business use cases.
- System Hardening: Work with the engineering teams to transition successful prototypes into resilient, scalable solutions by applying high engineering standards to high-velocity deployments.
- Feedback Loop: Partner with our Product Engineering and R&D teams to turn field-level challenges into core platform features, reducing friction for all future deployments.
Your profile
The Speed to Value Mindset
- Technical Communication: You can translate complex distributed systems concepts into clear, actionable roadmaps for both technical and non-technical stakeholders.
- Pragmatic Delivery: Through a business outcome focus, you identify the 20% of engineering work that delivers 80% of the customer value. You prefer functional, reliable solutions that deliver value over theoretical perfection.
- Ownership & Agency: You take full responsibility for the customer's technical success. You identify and build solutions to keep the deployment moving.
Technical Requirements
- Core Engineering: Proficiency in Python. You are comfortable writing, debugging, and optimising code.
- AI Assisted coding: You have hands-on experience using AI to accelerate software development and can confidently manage the risks while realising benefits in cost and speed.
- AI & Logic Implementation: Practical experience with AI orchestration (e.g., RAG architectures, knowledge graphs, agentic frameworks, or LLM-based reasoning systems).
- Data Infrastructure: Solid grasp of SQL and experience navigating enterprise data pipelines (e.g., Snowflake, Databricks). You understand how to handle 'messy' real-world data at scale.
- DevOps & Cloud: Familiarity with Docker, Kubernetes, and at least one major cloud provider (AWS, Azure, or GCP).
- Distributed Systems: An interest in or experience with high-performance networking, disaggregated computing, or decentralised workloads.
Forward Deployed Engineer in City of London employer: Saunders Scott
Contact Detail:
Saunders Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're eyeing. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python and AI. This gives potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to deployment and integration. Think about how you can demonstrate your Speed to Value mindset and pragmatic delivery during these discussions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Forward Deployed Engineer in City of London
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your proficiency in Python and any experience with AI orchestration. We want to see how you can apply your technical know-how to real-world problems, so don’t hold back on showcasing your coding skills!
Tailor Your Application: When applying, customise your CV and cover letter to reflect the key responsibilities and requirements from the job description. We love seeing candidates who take the time to align their experiences with what we’re looking for!
Demonstrate Your Pragmatic Approach: We value a Speed to Value mindset, so share examples of how you've delivered practical solutions that drive business outcomes. Show us how you focus on the 20% of work that brings 80% of the value!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Saunders Scott
✨Know Your Tech Inside Out
As a Forward Deployed Engineer, you'll need to showcase your technical prowess. Brush up on Python, SQL, and any relevant AI orchestration tools. Be ready to discuss how you've used these skills in past projects, especially in deploying solutions at scale.
✨Demonstrate Your Pragmatic Approach
Employ the 80/20 rule in your responses. Highlight instances where you identified key engineering tasks that delivered significant customer value. This will show your understanding of prioritising practical solutions over theoretical perfection.
✨Communicate Clearly and Effectively
You’ll be translating complex concepts for various stakeholders. Practice explaining your past projects in simple terms, focusing on the impact and outcomes. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Show Ownership and Initiative
Be prepared to discuss how you've taken responsibility for a project's success. Share examples of how you’ve proactively solved problems or kept deployments moving forward, as this aligns with the ownership mindset they’re looking for.
